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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.
Job Responsibility
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
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
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