Senior Data Analyst

Translate ambiguous business questions into well-defined analytical problems and analysis plans.

Communicate evidence, assumptions, and trade-offs to build stakeholder alignment and translate recommendations into implemented decisions.

Analyze large and complex datasets using SQL and a general-purpose programming language such as Python or R.

Apply statistical and analytical methods to identify patterns, quantify relationships, diagnose business outcomes, and develop actionable insights.

Design and optimize scalable Power BI semantic models using DAX and dimensional modeling techniques.

Define and maintain shared metrics, measures, and business logic to ensure consistent, trusted reporting across Power BI products.

Design impact evaluations, including hypotheses, success metrics, guardrails, and interpretation of results.

Build reusable analytical tools and data products that enable repeatable decision-making and reduce manual analysis.

Partner with economists, data scientists, engineers, and business teams to define analytical objectives, prioritize work, and establish success metrics.

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 2+ years of experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.

OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 4+ years of experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.

Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 4+ years of experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.

OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field AND 6+ years of experience in data science, data analysis and reporting, business intelligence, or business and financial analysis.

OR equivalent experience.

applying statistics or data science to pricing, monetization, or related business problems.