Senior Data Analyst
Job Description
The Xbox Planning & Insights team plays a central role in shaping the strategic direction of the Gaming organization by delivering business intelligence, analytics, and decision science that drive impact across the Xbox ecosystem. We partner cross-functionally to optimize performance, inform investment decisions, and ensure alignment with long-term goals. Whether supporting Game Pass content strategy, membership planning, or platform insights, our work is grounded in a customer centric approach and a commitment to execution excellence—from idea to measurable outcomes. We’re looking for a Senior Data Analyst who is comfortable navigating evolving or complex challenges, bring thoughtful and data-driven decision-making, and are passionate about building the future of gaming. Why join usYou won’t just be analyzing data—you’ll be shaping how millions of gamers experience Xbox. From product insights to strategic planning, your work will directly influence the future of Xbox. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Locations
- Redmond, Washington, United States, Redmond, Washington, United States
Salary
Salary not disclosed
Required Qualifications
- Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience. (degree)
- OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field (degree)
- AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis (degree)
- OR equivalent experience. (degree)
- Proficiency in SQL and at least one programming language (Python or R). (degree)
- 2+ years of experience with data analytics and reporting tools, PowerBI preferred. (degree)
- Proficiency and understanding of statistical methods and experimentation design and causal inference. (degree)
- Proficiency with cloud data platforms (e.g., Azure Data Lake, Synapse, Databricks) and distributed data processing. (degree)
- Background in product analytics, consumer subscriptions, or gaming (or similar digital ecosystems). (degree)
- Familiarity with data privacy regulations (GDPR, CCPA) and governance frameworks. (degree)
- Experience building scalable analytics solutions, reusable frameworks, or automation for recurring insights. (degree)
Preferred Qualifications
- Proficiency with cloud data platforms (e.g., Azure Data Lake, Synapse, Databricks) and distributed data processing. (degree)
- Background in product analytics, consumer subscriptions, or gaming (or similar digital ecosystems). (degree)
- Familiarity with data privacy regulations (GDPR, CCPA) and governance frameworks. (degree)
- Experience building scalable analytics solutions, reusable frameworks, or automation for recurring insights. (degree)
Responsibilities
- Transform data into decisions: Apply statistical and analytical techniques to large, complex datasets to analyze product and player signals to identify opportunities, risks, and trade‑offs for product and business.
- Tell a compelling data story: Create executive-ready reports, dashboards, and presentations that clearly communicate insights, implications, and recommendations. Present insights with clarity, tailoring the message to both technical and non-technical audiences.
- Drive alignment: Partner with engineering, product, and business stakeholders to define success metrics, align on KPIs, and drive clarity in decision-making. Experienced in cross-functional teamwork to land decisions with clarity and follow-through.
- Measure impact: Closely partner with the Product and Experimentation team to design and evaluate hypothesis-driven A/B tests and other experiments; ensure methodological rigor and interpret results for business impact.
- Having a growth mindset: Demonstrates a growth mindset through adaptability, curiosity, and continuous learning,
- Being proactive: Anticipate questions, propose analyses, and independently push work to completion in ambiguous spaces.
- Data‑driven and governance‑minded: Ensure accuracy, consistency, and compliance of data sources; contribute to improving data pipelines and governance practices.
- Embody our Culture & Values
Travel Requirements
3 days / week in-office
