The Sales Compensation Insights Manager sits within the Quota & Analytics function of Microsoft’s Sales Design and Incentives (SDI) team. This position focuses on delivering actionable insights that support informed decisions across Microsoft’s sales compensation programs. The work involves partnering with stakeholders across the business to interpret results, provide recommendations on compensation design, and support data-driven strategies and initiatives.
This role is a good fit for a well-rounded business professional who blends strategic thinking with thoughtful execution. The work includes exploratory data analysis, statistical modeling, and cross-team collaboration, along with a focus on using data to inform business decisions. Success requires the ability to bring clarity to ambiguous, fast-moving environments and to work effectively within large, cross-geo, cross-business hybrid or virtual teams.
If the work described above sounds interesting to you, we invite you to explore this role on the Sales Design and Incentives (SDI) team.
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 to innovate, collaborate, and support shared goals. Each day, we live our values of respect, integrity, and accountability as we build an inclusive culture where everyone can thrive at work and beyond.
Responsibilities
Business Analytics
Perform analytics and modeling to evaluate compensation plan performance, assess scenarios, and support business decision‑making.
Analyze incentive compensation plan designs to assess legal, financial, and operational risk.
Apply mathematical and statistical methods to develop data‑based recommendations, including cost and impact considerations.
Create sales performance reports and data visualizations to communicate results and quantify business impact.
Compensation Strategy
Partner with stakeholders to understand sales strategies and support the development and execution of compensation plans and quotas.
Align compensation plans, quotas, and sales models to support desired seller behaviors and business priorities.
Forecast how compensation plans and quotas may vary at the area or territory level and surface potential impacts.
Gather and synthesize field feedback to inform leadership, including insights from rhythm of business (ROB) reviews.
Compensation Consulting
Apply compensation design principles, levers, and mechanics to design or implement incentive plans aligned with business objectives.
Stakeholder Management
Build trusted partnerships with segment leadership and cross‑functional teams (e.g., sales, finance, HR, product) across regions to support core initiatives.
Other
Embody our culture and values
Qualifications
Required/minimum qualifications
Bachelor's Degree in Business, Finance, Computer Science, Data Science, Engineering, Economics, or related field AND 5+ years' experience in compensation, business management and operations, finance and analytics, human resources and people analytics, marketing, or sales strategy OR equivalent experience
Additional or preferred qualifications
Master’s degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 5+ years’ experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
2+ years’ experience modeling data or statistical forecasting using software packages (e.g., ADX/Azure Stack, SQL, R, Python, Excel)
3+ years’ experience partnering with Sales organizations
5+ years of experience working in a large or highly matrixed organization, preferably in the technology industry
3+ years of project or program leadership/management experience
Executive presence with experience influencing and partnering with stakeholders across the business
Proven success navigating ambiguity, ramping quickly on new processes and business data, and resolving unstructured problems
Experience communicating incentive compensation updates and plan changes clearly to drive understanding and action at all organizational levels
Maintain effectiveness while managing shifting priorities and multiple concurrent deadlines
Sales Compensation IC4 - The typical base pay range for this role across the U.S. is USD $97,600 - $188,400 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 $125,000 - $206,400 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
- Bachelor's degree in Business, Finance, Computer Science, Data Science, Engineering, Economics, or related field AND 5+ years' experience in compensation, business management and operations, finance and analytics, human resources and people analytics, marketing, or sales strategy OR equivalent experience
- Master's degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field and 5+ years' experience in data analysis, reporting, data science, business intelligence, or financial analysis
- 2+ years' experience modeling data or statistical forecasting using software packages (e.g., ADX/Azure Stack, SQL, R, Python, Excel)
- 3+ years' experience partnering with Sales organizations
- 5+ years' experience working in a large or highly matrixed organization, preferably in technology
- 3+ years' project or program leadership/management experience
- Executive presence with experience influencing and partnering with stakeholders across the business
- Proven ability to navigate ambiguity, ramp quickly on new processes and data, and resolve unstructured problems
- Experience communicating incentive compensation updates and plan changes to drive understanding and action across organizational levels
- Ability to manage shifting priorities and multiple concurrent deadlines effectively
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
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.
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