Sr. Product Analytics Consultant

How will this role have an impact?

We are seeking a skilled and analytical Senior Product Analyst to lead the development and execution of a data-driven product roadmap. The ideal candidate will have a deep understanding of product analytics, strong problem-solving skills, and experience working with cross-functional teams to support strategic initiatives. As a Senior Product Analytics Associate, This role will work closely with cross-functional teams including engineering, quality assurance, and customer success.

Logistics:  This role is remote with occasional travel required

What will you do?

• Develop an expert level understanding of Signify’s 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

We are looking for someone with:

• Bachelor’s 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
• 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
• 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 …