Microsoft Data Analyst II - Spares Supply Chain 

United States, Washington 

206432378

The Spares Supply Chain organization is reinventing and transforming the cloud service parts supply chain to ensure that the right spare parts are in the right place at the right time to support global capacity requirements and make sure our customers have the cloud capacity they need when they need it. We have an exciting opportunity on the Spares Supply Chain team for a Data Analyst II to help transform our supply chain through effective use of Data Analytics and automation. In this role, you will develop and implement data-driven solutions to solve business problems across then end-to-end spare parts supply chain, leveraging structured and unstructured data from a variety of sources along with data science and automation technologies such as AI Copilot, Machine Learning, Power Automate and Power Apps. A successful candidate will have a combination of business acumen, analytical and problem-solving skills, experience in coding & scripting and cleaning, processing, and handling varied forms of structured and unstructured data, as well as data visualization & storytelling and project/program management skills.

Minimum Qualifications

• Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis

  • OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field

  • OR equivalent experience.

• Experience working with large-scale data sets, data management and analytics tools (e.g. SQL, Kusto, Python, Azure Data Explorer, Power BI, PowerApps) to derive insights and drive decision-making and process improvements.
• Experience with data warehousing, Extract Transform and Load (ETL) processes, and data integration tools (e.g. Azure Data Factory, Azure Synapse).

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Experience applying automation tools such as Power Automate to automate business processes
• Knowledge of AI, Machine Learning, Optimization and related Data Science techniques
• Proficient with Microsoft M365 applications including advanced Excel skills
• Data visualization and storytelling experience
• Experience working with operations teams to understand business needs, develop and deploy solutions and performance metrics.
• Understanding of key IT and service industry concepts and the software development lifecycle, including gathering, analyzing, and defining business and functional requirements
• Demonstrated ability to communicate with and influence diverse technical and non-technical groups, spanning all organizational levels in a highly matrixed environment
• Knowledge of supply chain management including demand & supply planning a plus
• Understanding of cloud infrastructure and datacenter technologies and operations

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 2, 2024.

Responsibilites

• Develop, implement and support data-oriented solutions to solve business needs across the spares supply chain organization.
• Perform data analysis and visualization using appropriate tools including SQL, Kusto, Power BI and Excel
• Apply statistical analysis, Machine Learning, Generative AI, optimization and other advanced analytical techniques as appropriate to provide actionable insights and improve decision-making.
• Develop solutions leveraging automation technologies such as Power Automate, PowerApps and Copilot to automate and transform business processes.
• Coordinate across business, engineering, finance and operations teams to define, scope and prioritize business problems to be addressed.
• Articulate project goals and scope, translate business needs into technical terms, establish key performance indicators, and manage the lifecycle of dynamic projects.
• Cultivate strategic relationships across teams and organizations, and influence business and technical decision makers through verbal, written and visual communication.

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