Microsoft Senior Data Analyst 

Taiwan, Taoyuan City 

270071975

We’re looking for a Senior Data Analyst w

You 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.

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.

• Proficiency in SQL and at least one programming language (Python or R).
• 2+ years of experience with data analytics and reporting tools, PowerBI preferred.
• Proficiency and understanding of statistical methods and experimentation design and causal inference.

Preferred Qualifications:

• Proficiency with cloud data platforms (e.g., Azure Data Lake, Synapse, Databricks) and distributed data processing.
• Background in product analytics , consumer subscriptions , or gaming (or similar digital ecosystems).
• Familiarity with data privacy regulations (GDPR, CCPA) and governance frameworks.
• Experience building scalable analytics solutions , reusable frameworks, or automation for recurring insights.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until OCtober 16, 2025.

• 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.

What will make you successful

• 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 &