New 
Senior Data Analyst
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Sep 28, 2025 | |
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OverviewThe Cloud & AI organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world.We are looking for an experienced Data Analyst II to develop presentations using dashboards, reports, data visualizations, and more to tell stories of analyses. As you do so, you'll ensure presentations provide information accurately, clearly, and appropriately.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.
ResponsibilitiesAs you develop an understanding of the business across multiple areas, you'll anticipate business problems. You'll also use appropriate data to address business needs, identifying and taking steps to solve data issues and gaps.You will help lead, scope, and drive the core analytics, KPI's, and Metrics for the CISO org.You will determine appropriate analytical tools and techniques, then execute analyses and make actionable recommendations. You'll also critically evaluate assumptions about data and analysis methods, and provide feedback on analytical tools.You will determine the factors and/or data types to include in evaluations, accounting for risks. You'll analyze and report results, and identify relevant recommendations and/or connections to other work.By working across teams, you'll deepen expertise in data sources, methodologies, tools, and processes. You'll then recommend efficiency improvements to core analytical and reporting work, and evaluate the viability of automated reporting and analysis methods. | |