The Digital Direct Sales organization at Microsoft is the premier destination for consumers and small businesses to discover and purchase a wide array of Microsoft products. It is a customer centric organization dedicated to harnessing the power of data to drive sales, insights and efficiency. As a global e-commerce leader, our website attracts tens of millions of visitors and generates over a billion customer data points each month. We are committed to developing cutting-edge solutions that empower our clients and stakeholders to make informed decisions. We value creativity, collaboration and a passion for excellence.  As the Reporting &amp; Data Design Lead, you will play a pivotal role in empowering your team to understand the business and its data landscape, turning data and insights into actionable solutions. By fostering collaboration and leveraging stakeholder perspectives, you will guide your team in addressing customer challenges and identifying opportunities for impact.  Your leadership will drive efforts to standardize metrics, deliver streamlined reporting for the Digital Direct Sales organization, and incorporate cutting-edge generative AI insights into compelling report visualizations.  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. We offer flexible work opportunities, and you can work from home partially or fully. Required/Minimum Qualifications<ul><li>Bachelors 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<ul><li>OR Masters 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><li>OR equivalent experience.</li></ul></li><li>4+ year(s) PowerBI experience.</li><li>2+ year(2) Microsoft Fabric experience.</li></ul>Additional or Preferred Qualifications<ul><li>Bachelors 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<ul><li>OR Masters 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><li>OR equivalent experience.</li></ul></li><li>2+ year(s) Adobe Analytics or Customer Journey Analytics.</li><li>1+ year(s) people management experience and/or informal/indirect team leadership experience.</li><li>Understanding or experince with Python or T-SQL</li></ul>Business Analytics M4 - The typical base pay range for this role across the U.S. is USD $103,800 - $200,300 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 $133,700 - $219,200 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" target="_blank"> https://careers.microsoft.com/us/en/us-corporate-pay </a> Microsoft will accept applications for the role until February 10, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" target="_blank">Accommodation request form</a>. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #CSO<ul><li>Coach team members to understand the business and its data landscape, driving action on opportunities and solutions. </li><li>Lead a team of Technical Program Managers and Business Analysts and collaborate with stakeholders to ensure data quality, optimize tool usage (Adobe Analytics, Adoe Customer Journey Analytics, Microsoft Fabric, Microsoft Clarity), and adopt efficient processes and reporting solutions. </li><li>Set up integrated datasets and frameworks, partnering with Data Science and partner business teams to develop machine learning models, rhythm of business (RoB) reporting or advanced tools, and work with Data Engineering teams to build data infrastructure and pipelines.  </li></ul><ul><li>Foster cross-team collaboration, enforce standards on bias, privacy, and ethics, and align with organizational requirements. By leveraging data from multiple sources, you will guide your team in performing complex analyses, resolving challenges, and delivering impactful solutions focused on improving customer engagement and conversion rate.  </li></ul><ul><li>Develop your team to synthesize insights, streamline reporting, and innovate for efficiency. As a subject matter expert, you will coach others, share critical domain knowledge, and align generated models with business objectives. </li></ul>