AI for Humanitarian Action, AI for Earth, AI for Accessibility, AI for Healthcare, Digital Crimes. These are some of the programs at Microsoft where you can apply your world-class expertise to have a huge impact on global and local challenges. Come to work every day and contribute to projects that help save lives, alleviate suffering and restore human dignity. Use the power of technology and AI to promote human rights, increase accessibility for those with disabilities, and seek solutions to climate change. These are ambitious aims. But with access to our technology, resources, global scale and genuine commitment to using the power of AI and technology for good, they are achievable. We call this AI for Good, and we will empower our partners across the globe with our research, platforms and technology. Researchers and Data Analysts have a fantastic opportunity to join a newly created AI for Good Research Lab that is led by Microsoft's Chief Data and Analytics Officer. You get to work at
Work with a team of business professionals and data scientists to help understand, analyze, define, and scope the business requirements, metrics, and KPIs Work with data engineers to design, develop and deploy new data solutions and data platform capabilities Work with key stakeholders to develop analytic learning plans and solutions to answer key business questions and manage the prioritization and execution through a monthly sprint process Analyze high-volume, high-dimensionality data from varying sources (e.g., cloud, SQL) and communicate actionable insights in a clear, concise manner that lead
To be successful in this role, you should have: 5+ years delivering complex multi-dimensional data reporting and business intelligence solutions Bachelor's degree in Computer Science, Software Engineering, Statistics, Mathematics, Economics, Finance, Business Administration or equivalent experience Complex program leadership experience, with demonstrated ability to organize, lead, motivate, and build credibility with a diverse set of stakeholders Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes Experience in building impactful visualization