Senior Data Analyst
Redmond, WA, US; Mountain View, CA, US
- Pay
- Pay not listedSimilar roles state $94K–$143K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingTurn ambiguous business questions into defined analytical problems and plans
Analyze large, complex datasets using SQL and Python or R
Design and optimize scalable Power BI semantic models using DAX
Define and maintain shared metrics and business logic across Power BI products
Design impact evaluations with hypotheses, success metrics, and guardrails
From the employer’s posting
Translate ambiguous business questions into well-defined analytical problems and analysis plans
Analyze large and complex datasets using SQL and a general-purpose programming language such as Python or R
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
Tools in this posting
- Python
- R
- SQL
- Power BI
Source — Tool mentions in context
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. Experience applying statistics or data science to pricing, monetization, or related business problems.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 2026 · 6 days ago
- Recorded sightings
- 41
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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. Experience applying statistics or data science to pricing, monetization, or related business problems.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Redmond, WA, US; Mountain View, CA, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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