Senior Data Analyst @ Microsoft
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Job Details
Overview
The Xbox Planning & Insights team at Microsoft is central in shaping the strategic direction of the gaming organization by delivering business intelligence, analytics, and decision science. As a Senior Data Analyst, you will transform data into strategic decisions that shape the future of Xbox, impacting product insights, game pass content strategy, and membership planning.
Why Join the Senior Data Analyst Role?
You won’t just analyze data – you will shape how millions of gamers experience Xbox. Your work will influence executive decision-making and drive alignment across engineering, product, and business teams.
Responsibilities
- Apply statistical and analytical techniques to large datasets.
- Create executive-ready reports, dashboards, and presentations.
- Partner with cross-functional teams to define KPIs and success metrics.
- Design and evaluate hypothesis-driven A/B tests.
What Will Make You Successful
Exhibit a growth mindset, proactive problem-solving, and adherence to data governance. Demonstrate accuracy, consistency, and a passion for continuous learning.
Qualifications
A Master’s Degree or Bachelor’s Degree with equivalent experience is required, along with proficiency in SQL, Python or R, and experience with data analytics tools like PowerBI. Preferred skills include familiarity with cloud data platforms and a background in product analytics or gaming.
Compensation & Benefits
Competitive base pay ranges are provided, with variations for specific locations. Additional benefits and compensation details are available on the Microsoft careers page.
Key skills/competency
Data Analysis, Business Intelligence, SQL, Python, PowerBI, Statistical Methods, Dashboard Reporting, A/B Testing, Cross-functional Collaboration, Data Governance
How to Get Hired at Microsoft
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant analytics and BI projects.
- Research Microsoft's culture: Explore mission, values, and Xbox initiatives.
- Showcase technical skills: Emphasize SQL, Python, and PowerBI proficiency.
- Prepare for interviews: Practice data storytelling and case studies.