Turn complex business questions into trusted insights and scalable analytics. As a Senior Business Analytics Specialist, you will combine planning business intelligence (BI), rapid executive decision support, and semantic model ownership to strengthen commercial planning and performance. You will develop executive dashboards, investigate urgent business questions, and build governed data foundations for artificial intelligence (AI), self-service analytics, and Copilot-enabled experiences.
You will work across business and technical teams to connect analytical rigor with practical recommendations, balancing immediate decisions with long-term improvements to data quality, architecture, and usability. We're looking for someone who combines business acumen with technical analytics expertise, thrives in ambiguity, and naturally leads with solutions and recommendations. The ideal candidate is hands on, curious, collaborative, and driven by a growth mindset with a passion for helping organizations make smarter, faster decisions through data. Apply today!
Responsibilities
Lead the design, development, and continuous improvement of planning BI, executive scorecards, dashboards, and performance reports. Partner with stakeholders to define reporting requirements, key performance indicators (KPIs), business rules, and success measures.
Deliver scalable analytics for start-of-year business readiness, segmentation, quota planning, territory performance, coverage and resource planning, and investment allocation. Drive adoption through accurate, accessible, and actionable insights.
Respond to executive requests and emerging strategic questions. Frame ambiguous problems, select appropriate methods, and conduct root-cause analysis, diagnostics, trend and opportunity analysis, experimentation assessments, and scenario modeling while balancing speed with rigor.
Translate findings into concise executive narratives with clear implications and recommended actions. Support leadership, planning, investment, and performance reviews; evaluate programs and operational decisions, identify growth drivers and risks, and measure outcomes using reusable analytical frameworks.
Own semantic models, analytical data products, and reporting architecture in Power BI and Microsoft Fabric. Establish consistent enterprise metrics, business logic, data quality, governance, and lineage to support trusted, scalable self-service analytics.
Partner with engineering and analytics teams to consolidate models, simplify reporting, and reduce technical debt. Optimize model performance, user experience, scalability, and platform efficiency through sound architecture practices.
Prepare and certify trusted, governed, discoverable data assets against enterprise standards. Build AI-ready semantic foundations for natural language querying, Copilot, and agent-based analytics.
Partner with planning, finance, strategy, sales excellence, operations, engineering, and analytics teams to translate business questions into analytical requirements. Act as a proactive advisor, using evidence and business judgment to influence decisions across technical and executive audiences.
Apply advanced analytical techniques across systems and processes, uphold reporting standards and quality assurance, and automate recurring analyses. Explore new analytics, visualization, and AI capabilities, creating reusable assets that expand self-service and agent-powered insights.
Qualifications
Required/minimum 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.
- Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ 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 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
- Experience translating complex, ambiguous business challenges into scalable analytics, reporting, and business intelligence solutions.
- Hands-on experience with modern analytics platforms, including Microsoft Fabric, PowerBI, semantic models, and enterprise reporting solutions.
- Knowledge of data architecture concepts, including data modeling, semantic layer design, data governance, and self-service analytics enablement.
- Analytical problem-solving and judgment in ambiguous, time-sensitive situations, including exploratory analysis, diagnostics, and ad hoc investigations; ability to move quickly from a question to an evidence-based recommendation.
Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Master’s degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics, or a related field and 3+ years of experience in data analysis and reporting, business intelligence, or business and financial analysis
- Bachelor’s degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics, or a related field and 4+ years of experience in data analysis and reporting, business intelligence, or business and financial analysis
- Equivalent experience in place of the stated education and experience combinations
- Master’s degree in a relevant field and 6+ years of experience in data analysis and reporting, business intelligence, or business and financial analysis
- Bachelor’s degree in a relevant field and 8+ years of experience in data analysis and reporting, business intelligence, or business and financial analysis
- Experience translating complex, ambiguous business challenges into scalable analytics, reporting, and business intelligence solutions
- Hands-on experience with Microsoft Fabric, Power BI, semantic models, and enterprise reporting solutions
- Knowledge of data architecture, data modeling, semantic layer design, data governance, and self-service analytics enablement
- Analytical problem-solving and judgment in ambiguous, time-sensitive situations, including exploratory analysis, diagnostics, and ad hoc investigations
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
-
Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
-
Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
-
Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
