Are you passionate about using cutting-edge technologies & capabilities across Microsoft’s Intelligent Data Platform? Do you strive to improve customer experience and business performance? Do you like to affect change at a billion-dollar global user scale company, and deliver improvements that result in material impact? If yes, we want you in Monetization and Business Planning (MBP)!
Our organization directs the commercial portfolio’s pricing, packaging, licensing, channel, and monetization strategies. As a Senior Data Analyst in the Monetization Strategy and Licensing team, you will act as a strategic partner to functional teams, responsible for improving operational efficiency by delivering insights and data models that impact how go-to-market decisions are made. You will become an integral part of how we scale Microsoft’s monetization strategy. You will develop your career, forge effective cross-functional relationships, take on progressively broader responsibilities, and establish yourself as a strategic advisor. You can expect to have sponsorship for your work, support for your professional development, and encouragement to bring your authentic self to work.
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
Lead AI and Automation systems performance reporting, leveraging telemetry from our automation systems to provide insights to our partners.
Partner with our business and engineering leaders to set up KPIs to measure effectiveness of AI automation
Identify connections across data sources and contribute to the development of analytical frameworks as you develop an understanding of the business.
Leverage your understanding of the business to examine projects through a customer and/or stakeholder-oriented focus.
Identify and leverage appropriate sources of data and contribute to the development of recommendations.
Determine appropriate analytical techniques and critically evaluate assumptions.
Share and simplify relevant findings and insights and ensure presented results are accessible and accurate.
Support and/or consult with other teams and identify relevant data-driven recommendations.
Recommend efficiency improvements for core work and evaluate the viability of automated data collection methods.
Understand linkages between analytical models and contribute to the review process—and, if the model is deemed deficient—seek to determine why.
Work within and across teams to ensure alignment in data sources and processes and engage stakeholders to act on opportunities.
Stay abreast of privacy requirements and ensure data have undergone appropriate reviews.
Embody our culture and values.
Qualifications
Required Qualifications
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years 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 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
Preferred Qualifications
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years 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 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
4+ years of experience in building PowerBI dashboards and 2+ years of experience in building semantic models on Microsoft Fabric.
Experience building extract transform and load (ETL/ELT) solutions in Azure or any other cloud platform.
Data 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, Data Science, Engineering, Computer Science, Business, Economics, or a related field plus 2+ years of experience in data analysis, reporting, data science, business intelligence, or business and financial analysis; or equivalent experience
- Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field plus 4+ years of experience in data analysis, reporting, data science, business intelligence, or business and financial analysis; or equivalent experience
- Master’s degree in a relevant field plus 4+ years of experience in data analysis, reporting, data science, business intelligence, or business and financial analysis; or equivalent experience
- Bachelor’s degree in a relevant field plus 6+ years of experience in data analysis, reporting, data science, business intelligence, or business and financial analysis; or equivalent experience
- 4+ years of experience building Power BI dashboards
- 2+ years of experience building semantic models on Microsoft Fabric
- Experience building extract, transform, and load (ETL/ELT) solutions in Azure or another cloud platform
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.
