New 
Data Analyst
 Microsoft | |
 United States, Nevada, Reno | |
| 6840 Sierra Center Parkway (Show on map) | |
 Feb 25, 2025 | |
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OverviewAre you passionate about using cutting-edge technologies & capabilities across Microsoft's Intelligent Data Platform? Do you strive to improve customer experience and business performance? Do you like to affect change at a billion-dollar global user scale company, and deliver improvements that result in material impact?If yes, we want you in Monetization and Business Planning (MBP)! Our organization directs the commercial portfolio's pricing, packaging, licensing, channel, and monetization strategies. As a Data Analyst in the Monetization and Business Planning team, you will act as a strategic partner to functional teams, responsible for improving operational efficiency by delivering insights and data models that impact how go-to-market decisions are made. You will become an integral part of how we scale Microsoft's monetization strategy. You will develop your career, forge effective cross-functional relationships, take on progressively broader responsibilities, and establish yourself as a trusted strategic advisor. You can expect to have sponsorship for your work, support for your professional development, and encouragement to bring your authentic self to work. 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.
ResponsibilitiesYou will conduct exploratory data analysis that will influence product pricing, launch and performance monitoring, in partnership with multiple functional teams.You will identify and leverage appropriate sources of data and contribute to the development of recommendations. You'll determine appropriate analytical techniques and critically evaluate assumptions.You will share and simplify relevant findings and insights and ensure presented results are accessible and accurate. You'll support and/or consult with other teams and identify relevant data-driven recommendations.You will recommend efficiency improvements for core work and evaluate the viability of automated data collection and processing methods. You will understand linkages between analytical models and contribute to the review process-and, if the model is deemed deficient-seek to determine why.You'll work within and across teams to ensure alignment in data sources and processes and engage stakeholders to act on opportunities. You'll stay abreast of privacy requirements and ensure data have undergone appropriate reviews.OtherEmbody our Culture and Values | |