πUnited States
Senior Product Analytics Consultant
closed
Signify Health
π΅ $64k-$110k
πRemote - Worldwide
Summary
Join Signify Health as a Senior Product Analyst to lead the development and execution of a data-driven product roadmap. This remote role requires occasional travel and involves collaborating with cross-functional teams. You will define and track product metrics, build Power BI dashboards, champion A/B testing, and communicate insights to various stakeholders. The ideal candidate possesses a strong analytical background, experience with data analysis tools, and excellent communication skills. Signify Health offers a competitive salary, comprehensive benefits, and opportunities for professional development.
Requirements
- Bachelorβs degree in Statistics, Data Science, Business Analytics, Economics, Computer Science, Engineering, or a related technical field
- 5+ years of experience in a technical product analytics or data science role, with a proven track record of influencing product decisions through technical insights
- Build, develop and maintain dashboards and performance metrics that support key business decisions
- Experience with A/B testing, funnel analysis, and other statistical analysis methods, including regression, clustering, classification, and predictive modeling
- Advanced proficiency in SQL, and experience with Python or R for data analysis and modeling
- Proven ability to translate complex analyses into technical and actionable insights for various stakeholders
- Excellent oral and written communication skills; ability to present complex information in an understandable and compelling manner
Responsibilities
- Develop an expert level understanding of Signifyβs core product offerings and analytics technology
- Define, track, report out, and explain product metrics including performance and profitability
- Build and maintain Power BI dashboards and reports to track product health, highlight insights, and monitor the success of product initiatives
- Become a key partner with Product, Engineering, Operations and Analytics teams to drive key Signify objectives
- Be a champion of A/B testing and help stakeholders throughout the company design, analyze, and interpret A/B tests correctly. Able to use alternative causal inferences techniques when A/B testing is not feasible
- Develop ROI projections for analytics projects to prioritize analytics deliverables by impact to the business
- Communicate progress, barriers, priority and budget regularly with leadership
- Tell compelling stories through data, articulating technical information to a non technical audience
Preferred Qualifications
- Power BI experience is strongly preferred
- Familiarity with causal inference techniques (e.g., propensity score matching, instrumental variables, difference-in-differences) is a plus
- Experience working with data engineering teams to develop data pipelines and ensure data integrity across multiple systems
Benefits
- Full range of medical, dental, and vision benefits
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- Education assistance
- Free development courses
- Paid time off programs
- Paid holidays
- CVS store discount
- Discount programs with participating partners
This job is filled or no longer available
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