We are seeking a Director, Business Analytics & Insights to lead our Planning Analytics and Rapid Analytics functions. This leader will own a team responsible for some of the most critical analytical capabilities supporting the business, including segmentation strategy, Fast Start, quota planning, territory and coverage models, investment optimization, and executive decision support. In addition to leading planning analytics, this role will build and scale a Rapid Analytics capability designed to deliver high-impact insights at the pace of business. This team will operate as an internal analytics consulting organization, rapidly framing ambiguous business problems, conducting analyses, generating actionable recommendations, and influencing strategic decisions without relying on traditional development cycles.
The successful candidate will combine exceptional people leadership, analytical rigor, business acumen, and technical understanding. They will partner closely with engineering and platform teams to establish scalable data foundations, semantic models, AI-ready analytical assets, and modern analytics capabilities while developing a high-performing team recognized for speed, innovation, and business impact.
Responsibilities
- Define and lead the Planning Analytics vision, strategy, and roadmap across Small, Medium & Corporate (SME&C).
- Lead analytics for Fast Start, segmentation, quota setting, territory and coverage planning, resource allocation, investment optimization, and capacity planning.
- Translate strategic priorities into measurable planning frameworks and recommendations that improve business outcomes.
- Build and lead a Rapid Analytics capability that delivers timely insights on emerging opportunities, risks, and executive priorities.
- Apply advanced analytics, experimentation, scenario modeling, and hypothesis-driven analysis to complex business challenges.
- Translate evolving or imperfect data into clear, actionable recommendations for executive stakeholders.
- Lead and develop an organization of analytics specialists, business analysts, data professionals, and people managers.
- Foster an inclusive culture of accountability, innovation, collaboration, and continuous learning.
- Build capabilities across analytics, artificial intelligence (AI), business storytelling, planning methodologies, and modern data technologies.
- Partner with Engineering to influence the data architecture, semantic models, and analytics capabilities supporting enterprise planning.
- Drive adoption of Microsoft Power BI, Microsoft Fabric, Structured Query Language (SQL), cloud-based data platforms, AI-enabled workflows, and scalable analytics products.
- Establish trusted metrics, business definitions, governance, and data foundations that support self-service analytics, executive reporting, and AI readiness.
- Build trusted partnerships across Small, Medium & Corporate (SME&C), Microsoft Customer and Partner Solutions (MCAPS), Finance, Strategy, Sales Excellence, Operations, and Engineering.
- Influence strategic decisions through data-driven recommendations and executive storytelling.
- Align stakeholders around opportunities, risks, and long-term business outcomes.
Qualifications
Required/minimum qualifications
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.
Additional or preferred qualifications
Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 12+ 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 15+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
5+ years people management experience.
Business Analytics M5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 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 $165,600 - $272,300 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 plus 6 or more 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 plus 8 or more years of experience in data analysis and reporting, business intelligence, or business and financial analysis
- Equivalent experience may substitute for the stated degree and experience requirements
- Master's degree in a related field plus 12 or more years of experience in data analysis and reporting, business intelligence, or business and financial analysis
- Bachelor's degree in a related field plus 15 or more years of experience in data analysis and reporting, business intelligence, or business and financial analysis
- 5 or more years of people management experience
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.
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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.
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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.
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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
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