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Overview

Are you passionate about using data to drive strategic decision-making? Are you an active learner looking for ways to build and apply skills that contribute towards operating leverage for Microsoft?

Microsoft's Marketing Finance team is looking for a Senior Finance Manager, Azure & M365 Marketing, to own our Azure commercial and M365 (Microsoft 365) consumer LTV (Lifetime Value) frameworks supporting ROI (Return on Investment) benchmarks for strategic media campaigns. This role is a strategy and analytics focused position, involving both broad collaboration across commercial and consumer as well as deep analysis and modeling on the business cases to drive insights and proposals for increasing net LTV for the company. This is a tremendous opportunity to build and utilize Frontier Finance skills such as AI (artificial intelligence), Excel, Power BI, and data storytelling — to turn insights into clear recommendations.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

Responsibilities

As focusing on specific business engagement projects, the role will:

• Build analysis to improve Azure & M365 consumer Lifetime value frameworks through clear drivers and models.
• Quantify and prioritize opportunities as part of this business case analysis, identifying the LTV potential from the work and approach to the case.
• Partner with the relevant business groups, finance teams, and engineering teams, to help them develop recommendations to act on these insights.
• Provide feedback loop on the user data structure and model, and the overall LTV framework, based on the analysis and insight derived from the business cases.

As part of the business case analysis, the role will focus on:

• Identifying triggers and levers to move LTV up, e.g., through:

  • Azure Cohort analysis across clusters to understand relationships.
  • Benchmarking across clusters and cohorts to get to potential causality and potential recommendations.
  • Help design, implement, and track experiments to validate hypothesis and causality, quantify opportunity, refine plan, scale actions, and measure impact in terms of consumer business growth.

Other:

• Embody our culture and values

Qualifications

Required/Minimum Qualifications

• Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience.

Additional or Preferred Qualifications

• Masters Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 6+ years of post-graduate financial analysis, accounting, controllership, or finance work experience OR Bachelor's degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 8+ years of post-graduate financial analysis, accounting, controllership or finance work experience OR equivalent experience.
• 1+ year(s) experience in multinationals with multi-product/multi-segment finance roles.
• 1+ year(s) work experience in matrix-based organization.
• 1+ year(s) work experience in the technology or software industry.
• Ability to simplify complex data into executive storytelling; Communication skills that demonstrate the ability and interest in storytelling with data.
• Experience in financial modeling (Excel) and analysis; Experience working with reporting tools (Power BI or Tableau) and DAX language.
• Familiarity creating advanced SQL queries and python scripts; Exposure to big data concepts is a plus.
• Experience in designing and implementing strategic frameworks.
• Demonstrated collaborator with the desire and ability to partner and influence the business.
• Proficiency in Microsoft technology, including Excel and Power BI.
• Effective problem solver with a demonstrated ability to thrive in highly ambiguous situations.
• Able to embrace a growth mindset with the ability to make process and business recommendations.

Compensation

• The typical base pay range for this role across the U.S. is USD $96,500 - $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 $123,500 - $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.