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Business Analyst - Azure Storage

Microsoft
United States, Nevada, Reno
6840 Sierra Center Parkway (Show on map)
Dec 19, 2024
OverviewThe Azure Storage team delivers a range of storage solutions-including Azure Blob Storage for object storage, Azure Files for shared storage, and Azure Disks for block storage-that empower developers to create scalable, durable, and highly available cloud-native and AI applications. We are one of the key growth engines for Azure.We are seeking a Business Analyst - Azure Storage in the Data Science and Analytics team. This individual will leverage data, build and validate hypothesis, and provide recommendations to Storage Leadership in how we serve our customers better, identify new business opportunities, determine optimal pricing structures, and identify cost saving opportunities. Your recommendations will help investments with direct impact to Azure Storage Business.Microsoft's mission is to empower every person and every organization on the planet to achieve more. Our employees embrace a growth mindset, collaborate to achieve shared goals, and innovate to empower others. We build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive.
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 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 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.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.
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