Business Analytics Specialist

Microsoft • Redmond, WA

20h • Hybrid

About The Position

Microsoft Advertising (MSA) empowers the largest advertisers around the world to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a top-performing Business Analytics Specialist with digital advertising experience who can empower third-party partners to grow and scale on our network through data-driven insights and strategies. This will be achieved by developing and cultivating strategic relationships and delivering valuable, customized recommendations that align with our publishers’ goals, while ensuring alignment with our advertisers and maintaining marketplace health.
In this senior level role, the Business Analytics Specialist will play a critical role in advancing Microsoft Advertising’s monetization strategy across both Monetize and O&O supply surfaces. This role provides the analytical foundation that enables revenue growth, spend optimization, and marketplace quality across a critical business. The analyst owns end-to-end insight generation—from performance diagnostics to financial forecasting, tooling evolution, and supply–demand analytics—ensuring that we can proactively identify trends, mitigate risks, and unlock monetization opportunities at scale.
By driving clarity across complex programmatic ecosystems (DSP, SSP, O&O), the role strengthens Microsoft’s ability to maximize advertiser ROI, maintain healthy marketplace dynamics, and support strategic product and sales initiatives with high quality data and actionable insights.
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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Requirements

• Master's Degree in Analytics, Engineering, Computer Science, 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, Analytics, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
• 4+ years' experience in Data Science, Business Analytics, or Data Analytics.
• Demonstrated experience analyzing marketplace dynamics, advertiser or publisher performance, or monetization workflows (Search / Display / Programmatic preferred).
• Adaptability: Explores options, responds to changing demands, functions effectively in ambiguity, and maintains a positive attitude under stress.
• Analytical Problem Solving: Identifies data trends and inconsistencies, provides effective solutions to both simple and complex problems.
• Solid skills in data analysis, reporting, and visualization tools (e.g., proficient with SQL, Python, Power BI). Has experience in developing forecasting models
• Collaboration: Promotes teamwork, aligns efforts across teams and departments to achieve goals.
• Partner Focus: Understands client businesses, works collaboratively for solutions, anticipates needs, exceeds customer expectations, resolves issues through products and services.
• Drive for Results: Pursues positive outcomes, delivers commitments, seeks challenging work, takes responsibility and holds others accountable.
• Storytelling: Synthesizes large data sets into cohesive narratives to support decision-making.
• Planning, Organizing, and Executing: Develops and implements project plans, ensures alignment across stakeholders through communication and leadership.

Nice To Haves

• Master's Degree in Analytics, Engineering, Computer Science, Business, Economics or related field AND 6+ 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 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Responsibilities

• Lead weekly business reviews; surface trends, drivers, risks, and opportunities; update reporting for clarity and actionability across multiple stakeholders.
• Build and maintain projections for DSPs/PSPs; align assumptions across Sales, Supply, Product, Finance, and Rev Management; integrate marketplace and partner insights into build a robust budget and forecasting process with finance stakeholders
• Maintain and enhance dashboards; ensure data accuracy; debug issues; develop new dashboards for error monitoring, discrepancy detection, and inventory quality tracking. Experiment with AI tooling to optimize analytical processes
• Investigate anomalies, quality issues, bidder errors, and supply/demand imbalances; partner with Product, Marketplace Quality, and Sales to diagnose root causes and drive corrective actions.
• Analyze marketplace trends, second order effects, monetization opportunities, DSP/SSP behaviors, feature adoption, and advertiser ROI patterns; support QBRs and leadership narratives.
• Drive clear follow-ups and alignment across Sales Excellence, Monetize Partnerships, Product, and related teams; support disciplined execution of business rhythms.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level