Senior Finance Manager, Azure & M365 Marketing

Microsoft • Redmond, WA

2d • $96,500 - $188,400

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• Embody our culture and values

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees