Sr. Sales Operations Business Analyst

Microsoft•Redmond, WA

13d•Onsite

About The Position

Be at the center of executive decision‑making, turning complex executive‑level questions into insights that shape business decisions and inform what the organization does next. Partnering with peers, managers, and executive leaders, you own high‑impact analysis and synthesize findings into clear recommendations. You connect data, context, and business judgment to influence next steps at scale. Your work creates clarity, momentum, and alignment when decisions matter most. As a Senior Sales Operations Business Analyst in Microsoft Advertising, you will partner closely with managers and executive leaders to analyze complex business questions, deliver insights, and inform critical decisions. You will shape analyses end to end, synthesizing data, developing clear recommendations, and helping leaders determine next steps that drive organizational outcomes. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and become adept at influencing decisions through structured analysis and insight. This is a full-time in-office role. 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.

Requirements

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years' experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years' experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience

Nice To Haves

Bachelor's Degree in Statistics, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years’ experience in data analysis and reporting, business intelligence, or business and financial analysis OR Master’s Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience OR business and financial analysis
4+ years’ experience in online advertising.
4+ years’ experience presenting compelling data stories to executive audiences.

Responsibilities

Business Understanding & Problem Framing
Build a deep understanding of the business across multiple domains to anticipate business problems and identify analytical solutions.
Translate evolving business needs into clear data requirements; determine new data sources needed and proactively address data gaps or quality issues.
Analytical Strategy, Tools & Techniques
Determine the appropriate analytical tools, models, and methodologies to address business questions and guide others in executing analyses.
Critically evaluate assumptions, data integrity, and methodological approaches; provide feedback that strengthens analytical rigor and tool selection.
Insights Synthesis & Storytelling
Synthesize findings across analytical workstreams, dashboards, and reporting platforms to develop clear, cohesive presentations that inform decision‑making.
Guide others in preparing executive‑ready presentations that accurately and appropriately communicate insights.
Evaluation & Experimentation
Identify relevant factors and data types to include in analyses and evaluations, accounting for risks and potential trade‑offs.
Integrate results across multiple evaluations, identify connections to other analytical work, and recommend the next steps or strategies.
Data Quality, Governance & Cross‑Functional Collaboration
Leverage strong partnerships across engineering, business, and analytics teams to ensure access to quality data, sound methodologies, and appropriate application of tools.
Promote scalable analytical and reporting methods that drive efficiency and evaluate the relevance and viability of automated reporting solutions.
Other
Embody our culture and values.