Senior Business Data Analyst

Join M365 AI Experiences Data Platform to build the privacy‑first, experimentation‑driven data intelligence platform powering M365 Agents, People Experiences, and Windows Companions Apps. As we launch new capabilities across the ecosystem, you’ll turn raw, privacy‑safe signals into unified telemetry and actionable insights that let us ship faster through continuous experimentation, helping millions accomplish more every day. From industry‑leading “eyes‑off” analytics and deep behavioral understanding to mapping cross‑app workflows and measuring real productivity gains, you’ll architect the end‑to‑end foundation that product teams use to learn fast, decide with confidence, and build better. If you’re obsessed with software craftsmanship and responsible innovation at massive scale, come shape how M365 understands its users, and convert that understanding into intuitive, high‑value experiences from first instrument to final decision. This role centers on transforming complex, ambiguous business needs into clear, actionable data solutions that drive measurable outcomes. It requires deep expertise in both the business domain and the data ecosystem, enabling strategic decision-making through advanced analytics, experimentation, and storytelling. As a trusted Senior Business Data Analyst partner, you’ll collaborate with cross-functional teams to accelerate learning cycles, improve decision-making, and surface high-impact insights. You’ll also play a key role in ensuring data quality, governance, and ethical AI practices while helping shape the future of a high-velocity data platform.

Key responsibilities span across insight delivery, efficiency, and advanced analysis. You’ll build dashboards and self-service tools using modern BI platforms like Microsoft Fabric and Synapse, applying techniques such as DAX and semantic modeling to scale insights. You’ll drive innovation by implementing repeatable processes, recommending automation, and contributing to experimentation frameworks. Your work will involve hands-on collaboration with data engineers to ensure robust data pipelines, resolve quality issues, and uphold governance standards. Additionally, you’ll help translate stakeholder needs into strategic data requirements and guide focus toward the most impactful analytical opportunities.

Success in this role hinges on strong collaboration and adoption across teams. You’ll support relationships with product, engineering, and business stakeholders, ensuring alignment on data sources, methodologies, and tools. By championing analytics frameworks and self-service platforms, you’ll empower teams to make data-driven decisions faster. This is a mission-critical opportunity to influence how data is ingested, transformed, and consumed, at a pivotal moment where your contributions will scale rapidly. You’ll be part of a culture that values experimentation, psychological safety, and continuous learning, with opportunities to shape platform strategy and mentor future leaders.

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.

Responsibilities

• Build Insightful Tools: Create dashboards and self-service reports using platforms like Microsoft Fabric and Azure Synapse Analytics, applying techniques such as Data Analysis Expressions (DAX) and Power Query.
• Drive Scalable Analytics: Implement repeatable, self-service processes and recommend automation and artificial intelligence–based solutions to improve speed and efficiency.
• Lead Advanced Analysis: Apply statistical methods and experimentation frameworks to answer business questions and generate actionable insights.
• Ensure Data Integrity: Collaborate with data engineers to maintain reliable pipelines, resolve data quality issues, and enforce privacy, security, and ethical artificial intelligence standards.
• Translate Strategy into Data Solutions: Convert business needs into technical requirements and guide decisions through high-impact analytics.
• Promote Collaboration and Adoption: Build strong cross-functional relationships and drive alignment on data tools, sources, and methodologies.
• Shape Platform Evolution: Influence how data is ingested, transformed, and consumed, contributing to platform strategy and scaling impact across teams.
• Develop dashboards, reports, and interactive self-service tools using modern BI platforms (e.g., Microsoft Fabric, Titan, Cosmos, Synapse).
• Apply advanced techniques such as DAX, Power Query, and semantic data modeling to deliver scalable insights.
• Craft cohesive narratives that highlight business impact and recommended next steps.
• Coach others on best practices for presenting data and influencing decision-makers.
• Collaborate with product, engineering, and design teams to connect insights directly to roadmap decisions and user behavior improvements.

Qualifications

Required Qualifications:

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

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND senior-level experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• OR Master’s Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
• OR Master’s Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND experience in data analysis and reporting, data science, business intelligence, or business and financial analysis

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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