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Data Analytics Head of Fund Analytics & Automation — Credit Fund at Xsolla

Designs and operates the credit fund's data and automation stack, combining SQL/Python engineering with portfolio analytics and underwriting decisions.

Senior Onsite Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

ABOUT YOU

We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund’s entire data and automation stack end to end — and then own it as the fund goes live.

The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.

Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.

If you’re passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!

ABOUT US

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com.

Responsibilities

First 6 months — priorities in order

- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.

Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.

Phase 1: Build (through first close)

Deal pipeline management

- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.

- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.

Scoring and underwriting data layer

- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.

- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.

- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.

Fundraising / LP pipeline

- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.

- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.

Investor and borrower dashboards

- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.

- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.

Reliability, cost, and security of the stack

- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.

- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.

- Documented runbooks and handover-ready documentation as part of “done” — the stack must be operable by someone other than its author.

Phase 2: Operate (post-close)

- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.

- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.

Client and investor facing

This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.

Qualifications and Skills

Required

- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).

- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.

- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.

- Workflow orchestration experience (n8n, Airflow, or comparable).

- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.

- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.

- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.

- Strong written and spoken English; comfortable presenting to senior external audiences.

Preferred

- Direct exposure to private credit, lending, or fund operations.

- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).

- Experience with embeddings / semantic search and multi-model AI setups.

- Web development ability (React / TypeScript or similar) for internal tools and dashboards.

- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).

Benefits

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration

For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:

  • Criminal history check
  • Employment verification
  • Education verification
  • Credit history check

Relevance to Job Responsibilities

The background check is relevant to this position because of the following role responsibilities:

  • Handling sensitive financial information and supporting fund analytics, financial models, and deal data
  • Accessing confidential company data
  • Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Read the full description
Data Analytics Senior Data Scientist at SecurityScorecard

Builds and deploys machine learning models for cybersecurity risk scoring, performs data analysis, and collaborates with product and engineering teams to integrate models into production systems.

Senior Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
  • Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

  • Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • 5+ years of experience applying data science and machine learning to real-world challenges.
  • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
  • Experience working with cloud-based data pipelines (AWS, GCP, or similar).
  • Solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • Effective communicator and team player with a passion for solving hard problems.
  • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
  • Prior exposure and interest in LLMs is a plus.
  • Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $100,000 USD - $125,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Data Analytics Senior Data Scientist at SecurityScorecard

Develops and deploys machine learning models for risk scoring and threat intelligence, performing data analysis and collaborating with cross-functional teams to enhance the cybersecurity platform.

Senior Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
  • Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

  • Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • 5+ years of experience applying data science and machine learning to real-world challenges.
  • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
  • Experience working with cloud-based data pipelines (AWS, GCP, or similar).
  • Solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • Effective communicator and team player with a passion for solving hard problems.
  • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
  • Prior exposure and interest in LLMs is a plus.
  • Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $80,000 USD - $100,000 USD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Data Analytics Senior Data Scientist at SecurityScorecard

Builds and deploys machine learning models for cybersecurity risk scoring, performs data analysis on complex datasets, and collaborates with product and engineering teams to integrate models into production systems.

Senior Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of theWorld’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

We are looking for a talented and driven Senior Data Scientist to join our growing Data Science team. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced analytical models that drive insights and enhance our cybersecurity ratings platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities:

  • Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment.
  • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
  • Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Required Qualifications:

  • Advanced degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • 5+ years of experience applying data science and machine learning to real-world challenges.
  • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow,  PyTorch).
  • Experience working with cloud-based data pipelines (AWS, GCP, or similar).
  • Solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • Effective communicator and team player with a passion for solving hard problems.
  • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
  • Prior exposure and interest in LLMs is a plus.
  • Working knowledge of Scala is a plus.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $150,000 - $175,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

Read the full description
Data Analytics SAP Data Analyst

Analyzes SAP and business data to identify quality issues, trends, and improvement opportunities.

Posted about 13 hours ago Himalayas
What this role involves
• Analyse SAP and related business data to identify data quality issues, trends and improvement opportunities.
Read the full description
Data Analytics Eligibility Staff Auditor at Analytica

Audits Medicaid/CHIP eligibility determinations for regulatory compliance, analyzes documentation and data patterns, and prepares audit reports for federal oversight.

Mid Remote Posted 1 day ago RemoteFirstJobs Product
What this role involves

Analytica is seeking a Medicaid Eligibility Auditor to support the State Medicaid Program Integrity Audit (SMPIA) initiative, a key federal oversight program focused on strengthening the integrity and accountability of Medicaid and CHIP across the United States . The ideal candidate will excel in a collaborative, remote team environment and demonstrate strong analytical, compliance, and audit capabilities related to federal entitlement programs.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for three consecutive years. We support U.S. government clients in health, civilian, and national security missions to build better solutions that impact Americans’ day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid healthcare, training and development funds, and a 401k match.

Responsibilities include (but are not limited to):

  • Conduct detailed reviews of Medicaid and CHIP beneficiary eligibility determinations for compliance with federal and state regulations.

  • Evaluate eligibility decisions related to applications, redeterminations, post-Public Health Emergency (PHE) unwinding, and subsequent policy changes.

  • Assess state Medicaid eligibility policies, procedures, and workflows to ensure adherence to established guidelines.

  • Identify, document, and communicate potential vulnerabilities, risks, and areas of non-compliance within state Medicaid programs.

  • Gather and analyze state-provided documentation, including financial records, identity verification documents, and eligibility timelines.

  • Utilize data analytics tools to identify patterns, trends, and risk indicators requiring deeper audit review.

  • Prepare comprehensive audit reports summarizing findings, recommendations, and corrective action plans for submission to CMS/CPI and CMCS.

  • Develop clear, concise supporting documentation to substantiate audit findings and conclusions.

  • Collaborate with state Medicaid agencies to collect documentation and clarify procedural questions.

  • Participate in team meetings to ensure alignment and consistency in review approaches.

  • Conduct research to remain current on federal and state Medicaid eligibility regulations and evolving policy requirements.

  • Communicate regulatory updates and provide subject matter guidance to team members.

  • Assist in enhancing analytical tools, templates, and review protocols.

  • Contribute to continuous improvement of audit processes and program integrity methodologies.

  • Participate in training sessions to strengthen team capacity and maintain audit preparedness.

  • Provide guidance and support to junior team members or reviewers as needed.

  • Ensure all reviews align with established protocols, deadlines, and quality standards.

  • Verify accuracy, completeness, and clarity of documentation and findings prior to submission.

  • Maintain high productivity and organization in a fully remote work environment.

Basic Qualifications:

  • Bachelor’s degree in public health, business administration, public administration, accounting, or a related field. Master’s degree preferred.

  • Candidates with an associate’s degree may be considered if they have at least 10 years of highly relevant Medicaid eligibility and auditing experience.

  • Minimum 3 years of experience with federal entitlement programs such as Medicaid or CHIP ( 1 year is acceptable with a master’s degree).

  • Proven experience conducting compliance assessments, program reviews, or audits of federal or state programs.

  • Proficiency with Microsoft Office applications and experience using analytical tools for data evaluation.

  • Ability to develop clear technical reports and presentations.

  • Strong understanding of Medicaid terminology, regulations, eligibility frameworks, and policy requirements.

  • Familiarity with risk assessment techniques and program integrity principles.

  • Excellent prioritization, organizational, and time-management abilities.

  • Strong written and verbal communication skills, including the ability to collaborate with CMS, state agencies, and internal teams.

  • Ability to work independently and make sound decisions within established processes.

  • Ability to adapt effectively to a remote work environment.

  • U.S. citizenship and the ability to obtain Public Trust Clearance

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans.

We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Read the full description
Data Analytics Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto) at Capco

Senior Business Analyst manages client testing, training, data integration, and reconciliation for a SaaS corporate actions and income processing platform.

Senior Hybrid Posted 1 day ago RemoteFirstJobs Product
What this role involves

Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto)

The Role

Capco is seeking a Security Engineering Developer to design, develop, and enhance enterprise authentication capabilities on a Unified Authentication Platform. The role will focus on integrating modern Identity and Access Management (IAM) solutions such as Ping Identity (or equivalent), implementing passwordless authentication, MFA, token services, and secure API integrations to deliver scalable, secure, and seamless authentication experiences.

What You’ll Do

Capco is seeking a tenacious & proactive Corporate Actions Business Analyst to join our growing team that works closely with clients to implement strategic SaaS Corporate Actions & Income Processing application and its associated platform components across the Americas and in Europe. Do you have a strong Asset Servicing background and a proven record of collaborating effectively with clients & multiple teams to deliver outstanding results?

The Corporate Actions BA will be responsible for:

• User Testing Management & Reporting- working with clients to triage issues and to accurately track, report and expedite all phases of testing, challenging clients on change vs defect and ensuring development activity is focused on the essential issues for the priority milestones. Working with clients to have clean and accurate data on test execution progress and issue tirage & delivery.

• Training- quickly absorbing our industry leading APIs and product functionality to enable you to run client training sessions which includes the preparation of material, plans for delivery, and hands-on product demonstrations & training.

• Data Integration / Configuration Definition- working with our clients to define upstream and downstream data integration mapping, and suitable product configurations to support the client’s business.

• Migration/Conversion - supporting the Implementation Manager in the definition of the conversion strategy and the execution runbook. Assisting on mock conversions and final go-live, ensuring any issues from the mocks are reported and tracked to completion in good time for subsequent mock runs.

• Production Compare - participating in all phases of the reconciliation work to compare legacy output to BR’s solution for the same inputs using BDC (BR Data Control). Prioritising & driving improvements to match rates via new rule definitions and daily reporting both internally and to clients.

• Production Readiness - supporting the Implementation Manager by completing checklist activities and collaborating with internal and client stakeholders to ensure projects are successfully implemented on time and transition successfully into BAU.

• Collaboration- working closely with internal teams on delivery of conversions activities, and providing mentoring/guidance to junior members of the team.

What We’re Looking For

• 3-5 yrs experience as a conversions/implementation consultant, working on SaaS project delivery to Wealth or Capital Markets organisations.

• Asset Servicing platforms (either in-house or vendor solutions) in a Wealth Management, Investment Banking, or other financial environment.

• Client facing, and able to build good working relationships with clients whilst being strong enough to defend BR’s position.

• Experience of large scale projects and solid understanding of the full project lifecycle and Governance.

• Excellent attention to detail to enable accurate reporting.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy.

Benefits

  • Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
  • Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
  • Virtual Health Care – Company-paid program available to all employees and their dependents/partners
  • Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
  • Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
  • New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
  • Wellness Support – Fitness reimbursement benefit to promote health and well-being
  • Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

Pay Transparency

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000—$135,000 CAD

Read the full description
Data Analytics Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto) at Capco

Senior Business Analyst manages user testing, client training, data integration, and production reconciliation for a SaaS corporate actions platform.

Senior Hybrid Posted 1 day ago RemoteFirstJobs Product
What this role involves

Senior Business Analyst - SaaS & Income Processing Application (Hybrid Toronto)

The Role

Capco is seeking a Security Engineering Developer to design, develop, and enhance enterprise authentication capabilities on a Unified Authentication Platform. The role will focus on integrating modern Identity and Access Management (IAM) solutions such as Ping Identity (or equivalent), implementing passwordless authentication, MFA, token services, and secure API integrations to deliver scalable, secure, and seamless authentication experiences.

What You’ll Do

Capco is seeking a tenacious & proactive Corporate Actions Business Analyst to join our growing team that works closely with clients to implement strategic SaaS Corporate Actions & Income Processing application and its associated platform components across the Americas and in Europe. Do you have a strong Asset Servicing background and a proven record of collaborating effectively with clients & multiple teams to deliver outstanding results?

The Corporate Actions BA will be responsible for:

• User Testing Management & Reporting- working with clients to triage issues and to accurately track, report and expedite all phases of testing, challenging clients on change vs defect and ensuring development activity is focused on the essential issues for the priority milestones. Working with clients to have clean and accurate data on test execution progress and issue tirage & delivery.

• Training- quickly absorbing our industry leading APIs and product functionality to enable you to run client training sessions which includes the preparation of material, plans for delivery, and hands-on product demonstrations & training.

• Data Integration / Configuration Definition- working with our clients to define upstream and downstream data integration mapping, and suitable product configurations to support the client’s business.

• Migration/Conversion - supporting the Implementation Manager in the definition of the conversion strategy and the execution runbook. Assisting on mock conversions and final go-live, ensuring any issues from the mocks are reported and tracked to completion in good time for subsequent mock runs.

• Production Compare - participating in all phases of the reconciliation work to compare legacy output to BR’s solution for the same inputs using BDC (BR Data Control). Prioritising & driving improvements to match rates via new rule definitions and daily reporting both internally and to clients.

• Production Readiness - supporting the Implementation Manager by completing checklist activities and collaborating with internal and client stakeholders to ensure projects are successfully implemented on time and transition successfully into BAU.

• Collaboration- working closely with internal teams on delivery of conversions activities, and providing mentoring/guidance to junior members of the team.

What We’re Looking For

• 3-5 yrs experience as a conversions/implementation consultant, working on SaaS project delivery to Wealth or Capital Markets organisations.

• Asset Servicing platforms (either in-house or vendor solutions) in a Wealth Management, Investment Banking, or other financial environment.

• Client facing, and able to build good working relationships with clients whilst being strong enough to defend BR’s position.

• Experience of large scale projects and solid understanding of the full project lifecycle and Governance.

• Excellent attention to detail to enable accurate reporting.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy.

Benefits

  • Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
  • Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
  • Virtual Health Care – Company-paid program available to all employees and their dependents/partners
  • Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
  • Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
  • New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
  • Wellness Support – Fitness reimbursement benefit to promote health and well-being
  • Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open

We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-hybrid

Pay Transparency

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000—$135,000 CAD

Read the full description
Data Analytics Analytics Consultant (AA, CJA) at Blue Acorn iCi

Advises enterprise clients on digital analytics strategy using Adobe Analytics, GA4, and MarTech tools to drive business outcomes and digital transformation.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

Position Overview:

Blue Acorn iCi is seeking a skilled Analytics Consultant who has a broad range of experience in the Adobe Suite (i.e. Adobe Analytics, Adobe Target) and Google Analytics (GA4). This key strategy position will be responsible for realizing digital channel strategy for our customers, uncover unique circumstances, provide guidance and prioritization of initiatives, and drive value as a trusted advisor to our current customer base and increase the customer experience.

This role will be for a business-minded and data-driven consultant who can fuel our ability to provide data analysis, insight, and recommendations to our enterprise-level clients through implementation, configuration, and enablement of digital analytics and other Adobe solutions.

Preferred Experience:

  • Deep Adobe Experience Cloud experience with heavy emphasis on Adobe Analytics, Adobe Target, CDP and Audience Manager
  • Extensive experience with Google Analytics (GA4)
  • Broad MarTech stack experience (Augmented Analytics, Digital Experience Analytics, Audience Intelligence Platforms, etc.)
  • Knowledge of modern Analytics best practices and trends
  • Experience running workshops to elicit requirements
  • Data analysis experience
  • Business consulting with an emphasis in the digital channel
  • Demonstrate ability to be a leader within a collaborative team environment
  • Pre-Sales experience supporting sales strategy evaluating the customer digital channel objectives
  • Comfortable creating resonating/boardroom ready presentations for executive (including client) leadership
  • Articulate and logically communicate with technical and non-technical audiences
  • Navigate digital marketing concepts and conversations
  • Capable of building and maintaining strong relationships with a diverse set of leadership
  • Enterprise account experience

Functions and Responsibilities:

  • Enterprise client and partner leadership (above the project and program level) including Steering Committee representation
  • Responsible for identifying KPI’s, success factors and growing the business.
  • Accountable for discovering, sourcing and analyzing customer digital channel visions (how it would connect back to their experience within “Analytics” systems
  • Works with product teams to shape the strategy and capabilities for key digital consulting engagements, supporting the evolution of the product and delivery roadmap
  • Lead and co-deliver strategy consulting engagements (i.e. digital transformation, customer journey, digital marketing, etc.)
  • Establishes cross-functional operation.  Builds support and alignment across a wide range of stakeholders, creates a strong network of relationships among peers, partners, decision makers and stakeholders
  • Anticipate problems and recommend innovative solutions. Attentive to client and project team needs
  • Advocate digital marketing education for the organization, promoting new technologies, digital marketing tactics and continually merge with Adobe Experience Cloud solutions

The base salary range for this position is $90,000 – $150,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.

About Blue Acorn iCi

Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.

Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.

Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.

Why Join Us?

Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.

Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.

If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.

***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***

Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!

Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.

Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.

California applicants: Please click here for CCPA disclosures.

Read the full description
Data Analytics Senior Business Systems Analyst – Marketing Technology at Blue Acorn iCi

Senior analyst translates business requirements into technical specifications for enterprise marketing systems, bridging product strategy and engineering delivery.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

Position Overview

We are seeking a Senior Business Systems Analyst – Marketing Technology to support enterprise marketing systems and engineering delivery across a complex, multi-platform ecosystem. This role operates as a senior individual contributor, bridging business processes, product strategy, and technical execution.

You will partner closely with Product Management, Engineering, and business stakeholders to translate business objectives into implementation-ready requirements, ensuring alignment between functional needs, platform capabilities, and delivery outcomes.

This position is ideal for a technically strong analyst—often an engineer-turned-analyst—who thrives in enterprise environments and can drive clarity, structure, and execution across ambiguous and cross-functional initiatives.

Key Responsibilities

Business Analysis & Requirements Management

  • Partner with Product Management and business stakeholders to understand business goals, process needs, and functional requirements across the marketing ecosystem.
  • Translate business requirements into clear functional requirements, user stories, process flows, acceptance criteria, and other artifacts that engineering teams can build against.
  • Analyze requirements for completeness, feasibility, downstream impacts, and alignment with existing platform capabilities and architecture standards.
  • Document decisions, assumptions, dependencies, and requirement changes clearly to support delivery quality and long-term maintainability.

Solution Design & Delivery Support

  • Support solution discovery and solution design for cross-system initiatives spanning CRM, marketing automation, integrations, and related data flows.
  • Work closely with architects and engineers to clarify system behavior, define dependencies, and resolve functional and technical ambiguities during design and delivery.
  • Support platform configuration definition and ensure that delivered solutions align with intended business outcomes.

Cross-Functional Collaboration & Execution

  • Contribute to backlog refinement and release planning in partnership with Product Management and engineering teams.
  • Facilitate working sessions with cross-functional teams including Product, Engineering, QA, and business stakeholders.
  • Act as a strong senior analyst within the team by improving requirement quality, bringing structure to ambiguous asks, and helping drive consistent execution.

Required Skills & Experience

Enterprise Marketing Technology Expertise

  • Strong experience supporting enterprise marketing and CRM ecosystems, including hands-on work with platforms such as Dynamics 365, Salesforce, and Marketo.
  • Familiarity with integrations, data flows, lead management, and intake processes across marketing systems.

Technical & Analytical Capabilities

  • Strong technical aptitude, including understanding of integrations, data flows, dependencies, and solution tradeoffs.
  • Ability to create implementation-ready documentation such as user stories, process maps, functional designs, and acceptance criteria.
  • Demonstrated ability to bridge business context and technical implementation details with minimal supervision.

Program Delivery Experience

  • 8+ years of experience as a Business Systems Analyst, Business Analyst, Solution Analyst, or similar techno-functional role in a large enterprise environment.
  • Experience working directly with engineering teams, architects, and product managers in an Agile delivery model.
  • Strong communication and stakeholder-management skills, including the ability to ask the right questions and challenge unclear requirements constructively.

Preferred Qualifications

  • Experience in B2B marketing processes such as lead management, routing, lifecycle management, and marketing-to-CRM alignment.
  • Experience supporting platform transformation or migration programs, including transition from legacy systems to target-state platforms.
  • Familiarity with Workfront or similar intake and work-management platforms.
  • Exposure to Adobe Experience Platform (AEP), customer data platform concepts, or adjacent customer-data capabilities.
  • Prior experience in engineering, development, QA, or another technically grounded role before moving into analysis.
  • Bachelor’s degree in Computer Science, Information Systems, Business, or a related field, or equivalent practical experience.

The base salary range for this position is $130,000 – $180,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.

About Blue Acorn iCi

Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results.

Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us.

Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement.

Why Join Us?

Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital.

Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves.

If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place.

***For US based roles, candidates must have unrestricted authorization to work in the United States without the need for employer sponsorship now or in the future. Infosys Nova Holdings, LLC does not provide immigration or visa sponsorship for this position (including H4 EAD, H‑1B, OPT, CPT, TN, O‑1, E‑3, or J‑1 visas).***

Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more!

Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice.

Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: careers@blueacornici.com.

California applicants: Please click here for CCPA disclosures.

Read the full description
Data Analytics Senior Data Scientist - Payments (Inference) at Airbnb

Leads quantitative measurement and causal inference efforts for payments fraud mitigation, developing ML models and statistical frameworks to inform payment strategy decisions.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

You will join the Payments Data Science organization, which sits at the intersection of Trust and Payments and powers the systems that move money safely and efficiently across Airbnb’s global marketplace. The team spans payment optimization for guests and hosts, fraud and risk mitigation, complex measurement, and regulatory compliance. We partner directly with Payments product and engineering leadership, Finance, and Trust to ensure every transaction is fast, safe, and compliant at global scale. Our work directly shapes decisions made by senior leaders, including Payments executive leadership, and requires a rigorous, evidence-based approach to every recommendation we make. Our Data Science team enables this mission by providing reliable measurement frameworks to deliver robust data insights, build and enable state-of-the-art data products/models, and provide actionable and reliable business guidance.

The Difference You Will Make:

We are looking for a passionate data scientist to lead quantitative measurement efforts and bring novel scientific approaches to drive decision making across our platform’s payment experience. This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our platform. This role will have a particular focus on payments fraud mitigation and loss optimization, with the goal of making our platform safer for our community.

Our Data Scientists have a deep understanding of causal framework development, statistical analysis, machine learning model development and evaluation strategies, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They have keen business sense and are able to develop novel solutions to fraud and risk problems that don’t have an established playbook and utilize their findings to communicate across a wide range of partners to drive our data & product roadmaps. They are not only the trusted data expert on their team, but also a storyteller.

Examples of projects you may work on include, development of novel metrics and frameworks that can efficiently measure outcomes (often balancing competing tradeoffs), generating deep root cause investigations and long term impact measurements, and building/evaluating ML and agentic models to optimize guest, host, and business outcomes.

A Typical Day:

  • Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
  • AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior. Support evaluation and optimization of agentic and LLM-based systems.
  • Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
  • Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
  • Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights.

Your Expertise:

  • 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 3+ years of experience with a Phd degree.
  • Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development.
  • Skilled in statistical programming (Python or R) and database usage (SQL)
  • Demonstrated track record of owning a business or technical domain end-to-end at a prior company: setting your own roadmap, being the accountable expert others escalate to, and driving a problem to resolution.
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels
  • Ability to work independently, set your own roadmap, and drive cross-functional alignment
  • Payments Fraud/Risk Domain expertise is a strong plus.
  • Familiarity with evaluating agentic or LLM-based systems (e.g., decision-quality measurement, human-in-the-loop calibration) is a plus.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We’ll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$179,000—$210,000 USD

Read the full description
Data Analytics Junior Data Analyst

Analyzes claims data and builds analytics products for performance monitoring, market trends, predictive modeling, and fraud detection.

Junior Posted 1 day ago Himalayas
What this role involves
DAC Beachcroft’s Claims Solutions Data Analytics team provides analytics products to both internal and external clients in a wide range of areas, including performance and operational analysis, market trends, predictive modelling and fraud detection.
Read the full description
Data Analytics Data Analyst

Collects, integrates, analyzes, and visualizes organizational data to support a nonprofit's mission and decision-making.

Posted 1 day ago Himalayas
What this role involves
DATA ANALYSTDepartment: Finance and Administration JOB SUMMARYOne More Child is seeking to employ a full-time Data Analyst to support its mission of impacting vulnerable children and struggling families through the collection, integration, analysis, forecasting, and visualization of organizational data.
Read the full description
Data Analytics Senior IT Data Scientist

Analyzes health data using advanced statistical and machine learning techniques to improve outcomes for millions of members globally.

Senior Posted 1 day ago Himalayas
What this role involves
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world.
Read the full description
Data Analytics Business Systems Analyst

Analyzes business systems and processes to optimize operations and drive data-informed decision-making in a health-tech company.

Mid Posted 2 days ago Jobicy AI
What this role involves
Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug...
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Data Analytics Business Systems Analyst

Analyzes business systems and processes to optimize operations and support decision-making in a health-tech pharmacy benefit management company.

Mid Posted 2 days ago Jobicy AI
What this role involves
Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug...
Read the full description
Data Analytics Temporal Technologies: Director, GTM Strategy & Analytics

Architect GTM strategy and analytics by translating data into actionable insights for sales, marketing, and finance leadership to optimize field deployment and resource allocation.

Lead Remote Posted 2 days ago We Work Remotely — Programming
What this role involves

Headquarters: United States - Remote Opportunity

About Us

Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen.   Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble.   Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!

Role Summary

The Director of GTM Strategy and Analytics at Temporal will play a pivotal role in architecting our global growth engine. This position sits at the intersection of Sales, Marketing, Finance, and Data, with primary responsibility for translating complex data into the strategic roadmap for our go-to-market (GTM) organization. You will be the lead architect for how we deploy our field teams, measure their success, and invest our next dollar for maximum leverage.

Reporting to the VP of Revenue Operations, you will partner closely with GTM and Finance leaders to build the foundational models that power our business — from headcount capacity and productivity to territory optimization and quota setting. You will also play a key role in powering the GTM operating cadence with insights, from weekly operational reporting to quarterly business reviews and board meetings. This role requires a blend of high-level strategic thinking, deep technical data expertise, and a strong understanding of both enterprise and product-led-growth motions. We are centered around providing actionable insights to our leadership team that drive tangible, positive business outcomes.

The ideal candidate is a seasoned operator who thrives in the "building" phase of a high-growth company. You are a master of data modeling who can also command a room of executives. As a Director at Temporal, you will have the opportunity to design GTM frameworks from the ground up, using best-in-class technologies while collaborating with a high-performance team dedicated to category-defining growth.

What You’ll Do

  • Deliver high-quality analytical outputs, including quarterly business reviews (QBRs), productivity benchmarks, and data-driven recommendations for the GTM leadership team.
  • Partner closely with Finance and GTM leadership to lead the annual and semi-annual planning cycles, including the development and deployment of headcount models, territory design, and sales quotas.
  • Build and maintain sophisticated headcount and capacity models to ensure the GTM organization is staffed to hit aggressive revenue targets based on historical ramp times and attrition.
  • Design and optimize sales territories using data-driven methodologies to ensure equitable patch distribution and maximum market coverage across segments.
  • Partner closely with the Data team to design and deploy predictive models (e.g. account propensity) as well as traditional business intelligence reporting. 
  • Analyze the health of the sales pipeline and marketing funnel to identify leading indicators of growth and pinpoint potential bottlenecks in the customer journey.
  • Monitor and evaluate sales productivity performance over time, detecting trends in attainment and developing "what good looks like" profiles for various sales roles.
  • Conduct "white space" and TAM/SAM analyses to identify new vertical or geographic opportunities for expansion.
  • Communicate insights effectively to technical and non-technical audiences through clear visualizations and narratives, providing the data-backed backbone for Board-level and investor discussions.

What You'll Bring

  • 8-10+ years of experience working in a highly analytical role focused on GTM planning, strategy, or analytics in a high-growth SaaS or infrastructure environment.
  • Strong foundation in operational modeling, statistical analysis, and quantitative reasoning within a B2B context.
  • Deep proficiency in SQL and the Salesforce ecosystem; familiarity with the modern GTM stack.
  • Experience working with modern data processing and query engines to extract insights from raw usage and behavioral data (e.g. AWS Athena).
  • Familiarity with key SaaS business metrics such as Magic Number, CAC Payback, LTV/CAC, and Net Revenue Retention (NRR).
  • Hands-on experience with territory management tools and quota-setting methodologies at scale.
  • A results-oriented mindset with a focus on driving measurable improvements in sales velocity and rep attainment.
  • Ability to prototype complex models quickly in Excel or Google Sheets and transition them into scalable BI solutions.
  • Comfort operating in environments with imperfect data definitions, evolving metrics, and the need to make high-stakes decisions under uncertainty.
  • Demonstrated ability to lead cross-functional projects and influence executive-level stakeholders.
  • Curiosity and enthusiasm for uncovering the "why" behind the numbers through continuous experimentation and iteration.
  • Clear communicator who can explain complex strategic decisions and analytical insights in plain language, tailoring the message to the specific needs of the leadership team.

Compensation:

  • The estimated pay range for this role is $260K - $326K.
  • Additionally, this role is eligible to participate in Temporal's equity plan.

 

Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market location, and job level assessed during the interview process.   Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded.    U.S. Benefits 
  • Unlimited PTO, 12 Holidays + 2 Floating Holidays
  • 100% Premiums Coverage for Medical, Dental, and Vision
  • AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
  • Empower 401K Plan
  • Additional Perks for Learning & Development, Lifestyle Spending, Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!
International Benefits

Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with Remote.com.  Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, home office setup, professional memberships, work-from-home meals, and access to the Calm app for mental wellness.

Travel

Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together.

 

Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.   Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.   We are not working with external recruitment agencies, thanks.

To apply: https://weworkremotely.com/remote-jobs/temporal-technologies-director-gtm-strategy-analytics

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Data Analytics Sr Data & Insights Analyst at Henry Schein One

Analyzes cross-functional business data to deliver insights on marketing performance, customer behavior, and operational metrics that drive strategic decisions.

Senior Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

Shape what’s next in dental technology.

Join Henry Schein One!

Join a global leader redefining dental practice management and do work that actually matters. At Henry Schein One, we are a team of care catalysts: people who fuel innovation, challenge the status quo, and bring an entrepreneurial mindset to everything we do. Your ideas fuel innovation that enhances patient care and drives real results for practices.

We don’t just talk about impact; we build it! Backed by a trusted reputation, our leaders foster an inclusive and supportive environment where we stay solely focused on our mission, empowering you to think boldly, collaborate creatively, and grow. We have high expectations for performance and delivering results; as part of a winning team, you’ll work hard, challenge the status quo, and bring a growth mindset. Here, your strengths are recognized, your development matters, and your wins celebrated.

The Sr Data & Insights Analyst plays a pivotal role in driving strategic growth and improving business outcomes for DentalPlans.com, a leading online marketplace for dental savings plans that empowers consumers to access affordable dental care.

As part of the Analytics team, you’ll partner with cross-functional stakeholders across Marketing, Product, Contact Center Operations, and Technology to deliver data-driven insights that inform key business decisions. You’ll be a key contributor in enabling, maturing, and scaling DentalPlans’ analytical capabilities as the foundation for continued growth.

Your work will span key areas across the business, including digital marketing performance, contact center sales and support optimization, customer segmentation, engagement, and retention, and financial and operational analytics and forecasting. You will collaborate closely with business stakeholders to understand core processes, challenges, and opportunities, and develop ad hoc analytics, dashboards, forecasts, segmentation strategies, and predictive models to uncover actionable insights across the entire customer lifecycle.

Success in this position requires a blend of business and technical skills, strong analytical and critical thinking, and the ability to connect data to meaningful business outcomes.

This role is remote within the United States with up to 10% travel as needed.

What You Will Do

  • Analyze acquisition, sales, engagement, retention, and operational data and related customer behavior and outcomes to identify opportunities for optimization and growth
  • Develop ad hoc and production dashboards, reports, visualizations, and other analyses to monitor key performance indicators and identify trends, drivers, anomalies, and areas for improvement
  • Query, prepare, explore, and leverage data across our internal data warehouse, CRM, contact center, and digital analytics platforms to synthesize actionable insights and inform business decisions
  • Develop and maintain sales forecasts and contribute to broader operational and revenue forecasting that informs planning and budgeting
  • Analyze subscription, billing, and payment data to track trends and surface opportunities for improvement
  • Conduct operational analysis across the member lifecycle – acquisition, onboarding, retention, and support – to identify root causes and improvement opportunities
  • Build advanced Excel models and analyses for ad hoc business questions and scenario planning

What We Are Looking For

Experience & Education

  • 5+ years of experience as a business or data analyst, preferably with a digitally focused, direct-to-consumer subscription-based model
  • Bachelor’s Degree in a related field such as business, statistics, economics, or a quantitative discipline is preferred; equivalent professional experience will also be considered in lieu of a degree

Analytical & Technical Skills

  • Analytically curious and insight-driven, with a passion for connecting the dots across data to improve business outcomes and enable growth
  • Proficient in SQL for querying large, complex data sets, and in R (or similar) for statistical analysis, forecasting, and business scenario modeling
  • Experience with data visualization/BI tools such as Domo or Power BI
  • Comfortable using AI tools (Copilot, Claude, and/or Cursor) to accelerate analysis, automate repetitive tasks, and surface insights faster, with genuine enthusiasm for adopting new AI capabilities as they emerge
  • Skilled at translating business needs into data requirements, key metrics, and actionable insights that support strategic decision-making
  • Experience designing experimental testing methodologies to identify and quantify the drivers and impact of product, marketing, and operational changes

Communication & Collaboration

  • Excellent verbal and written communication skills, with the ability to distill complex findings into clear, actionable presentations for non-technical stakeholders at all levels
  • Excellent interpersonal and conflict-resolution skills, with the ability to build trust across teams and communicate constructively even when findings challenge assumptions

Organization & Execution

  • Highly organized with excellent time management skills
  • Able to manage multiple projects and shifting priorities in a fast-paced, dynamic environment while maintaining quality and accuracy

What you’ll gain as a #TeamSchein member

The posted range for this position is $75,000 - $105,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc. This position is eligible for a bonus target not reflected in the range.

A robust benefits package including health coverage, retirement savings with company match, paid time off, parental leave, wellbeing resources, education support, and MORE!

Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status.

Unfortunately, Henry Schein One is not currently hiring individuals residing in Delaware, Hawaii, North Dakota, Rhode Island, Vermont, Puerto Rico, and other US territories.

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Data Analytics Senior Analytics, Implementation Specialist at Kepler

Translates client business and marketing requirements into digital analytics implementation guides, manages enterprise-wide tag management solutions, and ensures quality assurance across technical implementations.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

Napkyn Summary:

We believe in a world where data stimulates growth, creativity and inspiration. A world where people and technology work in concert to create new outcomes, new opportunities, and new customer connections.

We believe that data, harnessed properly, can spark powerful consumer insights, business transformation and marketing innovation.

We are a full stack Google partner with a 14 year track record of delivering solutions to leading brands across multiple industries.

As a Kepler Group company, Napkyn draws from Kepler’s strategic, technology- and data-driven marketing expertise to provide world-class Google marketing support.

The Napkyn team is guided by Kepler’s values:

  • Kepler prides itself on being a great place to work.  In fact, we’re proud to share that AdAge just recognized Kepler as the #7 Best Place to Work”, validating our investment in our team and our clients.
  • We’re transparent with our employees. You’ll hear updates on company financials, how we’re performing against bonus goals, and how we’re responding to challenges we face.
  • We’re growing. For you, that means unparalleled growth opportunities and a role in shaping the direction of the company.
  • We’re fun, authentic, empathetic, and ever-in-motion. You’ll work with and learn from the smartest people in the industry and have a blast doing it.
  • We’re human. You’ll have an option to join Employee Resource Groups, DEI initiatives, and altruism efforts to bring positive societal impact.

About the role:

As a Senior Analytics Implementation Specialist, you understand a client’s business and marketing requirements for digital measurement and translate them into sophisticated guides to help IT and development teams strategically implement enterprise-wide digital analytics and tag management solutions.

This involves consulting IT departments and senior executive stakeholders, guiding them through implementation recommendations, performing exacting quality assurance on implementations, and providing training and ongoing services for their long term success.

Versatile and curious, you understand what technical rigour really looks like, but you’re driven by the value you create. You welcome collaboration with analysts, account executives and project managers alike to develop end-to-end solutions for our customers.

You engage in continuous professional development to evolve your craft, and are as happy to share what you learn with the rest of the team as you are to learn from them.

Primary Responsibilities:

  • Stay up to date with industry trends and technology developments.
  • Perform client-facing tasks such as presenting insights or providing training.
  • Collaborate with a cross-functional team to foster data-driven strategy and execution.
  • Deploy web and app measurement tools, such as Google Analytics.
  • Provide support on analytics and implementation for Napkyn analysts with root-cause analysis of issues and interruptions in measurement for our clients.
  • Provide recommendations on adoption of new tools and features as appropriate to client needs.
  • Serve as a resource for the latest trends and technologies within the digital analytics space.
  • Assist in improving the usability, efficiency, and overall effectiveness of our clients’ digital analytics tooling deployments.
  • Assist in evaluating the size and scope of customer problems as well as helping to determine a successful resolution.
  • Lead the team with site-wide audits of existing analytics implementations against web and app measurement best practices and create implementation recommendations for improvement.
  • Develop app and web measurement best practices and on-site technology requirements to generate high quality, easily-understood implementation guides for on-site deployments of Google Analytics.
  • Engage business and technical team stakeholders for feedback and validation.
  • Actively focus on the future-proofing, scalability, and ease of maintenance in all solutions.
  • Provide recommendations on adoption of new tools and features as appropriate to the client’s needs.
  • Participate in user testing with the internal team to ensure that components meet requirements for functionality and ease of use.
  • Develop and maintain an understanding of automation capabilities within the digital analytics platforms, tag managers and related software employed by the Data Solutions team.
  • Identify and contribute to the design of new internal tools and capabilities on the product roadmap, representing the Data Solutions team.
  • Develop an understanding of the deployment infrastructure behind Napkyn’s toolchain and contribute to its ongoing maintenance.

Required Skills & Experience:

  • Proficient in reading and writing JavaScript, in the context of both analytics deployments and web-based user interfaces.
  • A strong understanding of web technologies, in general.
  • Experience with tag management systems such as Google Tag Manager, Tealium, Adobe Launch, etc.
  • Experience with server-side tag management.
  • Experience with ecommerce implementation for Google Analytics.
  • Experience with Quality Assurance processes in digital analytics and app development.
  • Ability to effectively communicate with developers internally and in client organizations.
  • Strong critical thinking and problem-solving skills with attention to detail.
  • Strong writing and communication skills.
  • Team player, supportive of a collaborative team environment and culture.
  • Ability to prioritize projects and handle multiple tasks efficiently.
  • Comfort with or interest in presenting and speaking in front of small groups, most importantly in client meetings.

Preferred Skills & Experience:

As technology evolves rapidly, the field of digital analytics has broadened. Our implementation specialists are expected to build a widening range of skills through their work. Upon joining, a senior implementation specialist should have some of the following skills, knowledge or experience:

  • Familiarity with deploying and testing analytics tools in mobile apps for iOS and Android devices, especially using the Firebase SDK.
  • Experience with development environments, tools and processes for building software.
  • Certification in one or more Google Marketing Platform products.
  • Competency writing code in JavaScript, Python, Kotlin, Swift, Java or similar programming languages, in the context of web development, app development, or task automation.
  • Experience with Firebase app development or Google Cloud Platform more broadly.
  • Experience with product development or DevOps processes.

Reporting directly to: Director, Data Solutions

Location: Remote - based in Canada

Napkyn  welcomes and encourages applications from people with disabilities.  Accommodations are available upon request for applicants in all aspects of the selection process. We are committed to diversity of background, thought and experience, and we work to create an environment in which all our employees thrive by bringing their authentic self to work.

Kepler is a people first organization. If this role piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.

Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here

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Data Analytics Multi-Family Market Analyst at BH Properties

Analyzes financial and market data for commercial real estate investment opportunities, including underwriting, due diligence, and presenting findings to support acquisition decisions.

Junior Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

MARKET ANALYST (FULLY REMOTE)                                               www.bhproperties.com

COMPANY

BH Properties is a privately held commercial real estate investment firm focused on value-add acquisitions in office, industrial, retail, and multi-family properties throughout the Western United States, along with investments in distressed debt and ground leases.  The Company is vertically integrated, with offices in Los Angeles, Riverside, San Francisco, San Diego, Seattle, Phoenix, Austin, Dallas, and Houston, and is able to acquire and close transactions without the need for lengthy due diligence periods. Our 30-year track-record and balance sheet allow us to move quickly and creatively, structuring acquisitions to satisfy seller needs in a highly competitive market. Today, the Company owns and operates approximately 10M square feet across 18 states.

POSITION

The Market Analyst will support the acquisition and finance teams and perform tasks such as financial analysis and modeling, market research and analysis, due diligence, investment presentations, and organizing and maintaining the acquisition pipeline. The role, which is highly visible, requires effective communication, both internally and externally, with the executive team, property sellers, brokers, and service providers. The successful candidate will be a self-starter, comfortable working in a collegial, team environment with minimal day-to-day oversight.

The Market Analyst will report to the Managing Director, Head of Affordable Housing Acquisitions.

LOCATION

The Market Analyst will join our team remotely from the Philippines and will work during US Pacific business hours.

RESPONSIBILITIES

Including, but are not limited to:

  • Perform financial analysis and real estate underwriting on potential investment opportunities.
  • Assist in reviewing offering memoranda and other seller-provided materials such as income statements, balance sheets, and cash flows.
  • Conduct efficient and relevant market research and analysis that will be included in presentations to support real estate investment decisions.
  • Prepare high caliber slide decks.
  • Assist in property-level due diligence, including lease review/abstraction, rent roll review, loan document analysis, and coordinating title, survey, and third-party reports.
  • Perform market-level due diligence, including sale comps, lease comps, and investment trends.
  • Organize and maintain acquisitions pipeline.
  • Perform administrative support to the Acquisitions and Finance teams.

QUALIFICATIONS

  • A bachelor’s degree in real estate, finance and/or accounting a plus.
  • MBA degree preferred.
  • 2-5 years of experience in real estate asset management, finance and/or acquisitions.
  • Comfort and proficiency in underwriting and analyzing multifamily/apartment/ affordable housing real estate opportunities.
  • Experience with quantitative, spreadsheet evaluations, and/or analysis (return on investment, cash flow, net operating income).
  • Advanced Excel modeling skills required.
  • Strong organizational, time management, verbal and written skills.
  • Strong desire to succeed and ability to work effectively with minimal oversight, while functioning in a team environment.
  • Ability to generate high quality, error-free work product for internal and external distribution on tight deadlines with minimal oversight.
  • Unquestionable integrity and ethics.
  • A “Team Player” mentality, with a passion for brainstorming, problem solving, and independent thinking.
  • Passion for multi-family real estate and desire to grow with an exceptional team.

CONSULTING FEE

We offer a generous consulting fee, along with the opportunity for development and stability within a well-capitalized, entrepreneurial, and growing real estate investment group.

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