About this role

Overview The Microsoft 365 & Copilot for Individuals team is looking for a data-fluent, business-minded Senior Copilot Business Analyst to help shape how we understand and improve the Copilot usage in the core Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and OneDrive; from product usage and engagement through paywall interactions and Premium subscription upgrades.The Microsoft 365 for Individuals team owns end-to-end marketing experiences for consumers across Microsoft 365 subscriptions and individual products in the portfolio.In this role, you will build and own the usage consumption-to-upgrade measurement framework, helping the business understand the factors that influence Copilot engagement and subscription conversion. You will evaluate opportunities across key levers, including usage growth, engagement intensity, paywall experiences, campaigns, and in-product surfaces.You will also help establish attribution across customer touchpoints and turn complex behavioral data, business performance signals, and research into clear recommendations that influence marketing, product, and investment decisions.This role is great for someone who enjoys working at the intersection of data, marketing, product, and business strategy. You will work deeply with data, but your most important deliverable is not the dashboard. It is the insight, recommendation, or decision that comes from it.The successful candidate will bring proficient analytical rigor, marketing and customer fluency, curiosity, and an ability to communicate complex insights in ways that enable action. You will also have opportunities to apply AI tools to modern marketing and analytical challenges.What Success Looks Like? Success in this role means helping the organization move beyond simply reporting what happened to understanding why it happened, what matters most, and what we should do next.You will help create a shared understanding of the Copilot customer journey, identify the opportunities with the highest potential to improve engagement and subscription conversion, and provide leaders and partner teams with trusted insights they can use to make better decisions. Responsibilities The Senior Copilot Business Analyst key responsibilites: <ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Build and evolve the Copilot subscription usage to upgrade funnel: Define the measurement approach for the customer journey from Copilot usage and engagement through paywall interactions and Premium subscription upgrades.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Identify opportunities to improve conversion: Model key growth and conversion levers, including usage growth, engagement intensity, customer behavior, paywall mechanics, and other factors influencing subscription upgrades.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Own the measurement framework: Establish KPIs, definitions, data sources, and measurement standards for Copilot consumption across Microsoft 365 consumer applications, while identifying instrumentation and data gaps that need to be addressed.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Advance attribution capabilities: Parter with product, marketing tech, and data science teams to develop approaches for understanding which campaigns, channels, in-product surfaces, entry points, and customer touchpoints contribute to Copilot engagement and subscription conversion.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Turn data into business recommendations: Analyze behavioral and performance data to explain what changed, why it changed, and what actions teams should consider across audiences, applications, features, cohorts, lifecycle stages, and customer experiences.</li></ul><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Influence product and marketing priorities: Partner with product and marketing teams to evaluate how initiatives are affecting the customer funnel and identify opportunities with the highest potential to improve engagement and subscription outcomes.</li></ul><ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Support planning and forecasting: Collaborate with Finance and business partners on target setting, forecasting, scenario modeling, and investment prioritization while helping teams evaluate the assumptions behind business plans.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Strengthen data quality and accessibility: Partner with engineering, analytics, and data science teams to define measurement requirements, prioritize data pipelines, and ensure business-critical reporting is reliable, timely, and trusted.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Use AI to enhance analytical capabilities: Apply AI tools to accelerate analysis, uncover insights, explore patterns, improve reporting, and develop more effective ways of understanding business performance.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Communicate insights with clarity: Translate complex analytical findings into compelling narratives and recommendations that help technical and non-technical stakeholders make informed decisions.</li></ul> Other<ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Embody our <a style="background-color: white;" href="https://careers.microsoft.com/us/en/culture">culture</a> and <a style="background-color: white;" href="https://www.microsoft.com/en-us/about/corporate-values">values</a>. </li></ul> Qualifications Required Qualifications: <ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">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</li><ul style="margin-top: 0in; margin-bottom: 0in;" type="circle"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">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</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">OR equivalent experience.</li></ul></ul> Preferred Qualifications: <ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Master's Degree in 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</li><ul style="margin-top: 0in; margin-bottom: 0in;" type="circle"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">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.</li></ul><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">8+ years of experience in one or more areas such as business analytics, business planning, marketing analytics, product analytics, data science, growth analytics, strategy, or another quantitative discipline.</li></ul><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px; line-height: normal; font-size: 12pt; font-family: Aptos, sans-serif;">Experience working with product and marketing data to uncover insights, evaluate performance, and support business decisions</li><li style="margin: 0in 0in 0in 0px; line-height: normal; font-size: 12pt; font-family: Aptos, sans-serif;">Understanding of funnel data, including customer journeys, conversion trends, engagement, and opportunities to improve performance.</li></ul><ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience supporting a consumer subscription, freemium, digital product, or growth-oriented business.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Deep hands-on data skills, with demonstrated fluency building analysis and reporting from large behavioral datasets.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Proven track record of turning analysis into a clear recommendation that changed a business decision.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with attribution, funnel and cohort analysis in a consumer subscription or freemium business.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;"> Working knowledge of marketing — how campaigns, channels, lifecycle and in-product surfaces work, and what marketers need in order to act on a number. </li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Demonstrated partnership with engineering and data science teams to define measurement needs and deliver data pipelines.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience developing measurement frameworks, KPI definitions, experimentation strategies, or attribution methodologies.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience working with engineering or data science teams to define measurement requirements and improve instrumentation or data pipelines.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with forecasting, scenario modeling, target setting, or investment prioritization.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Familiarity with AI-powered analytical tools or demonstrated interest in using AI to improve analysis, reporting, and decision-making.</li></ul> Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href="https://careers.microsoft.com/us/en/us-corporate-pay">https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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, read more about <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>