Core Datacenter Services Business Analyst

Microsoft•Redmond, WA

About The Position

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. Microsoft Cloud Operations and Innovation (CO+I) is the engine that powers our cloud services. Our infrastructure is comprised of a large global portfolio of more than one hundred datacenters and one million servers. Our foundation is built upon and managed by a team of subject matter experts, who work tirelessly to support digital services for more than one billion customers and twenty million businesses in over ninety countries worldwide. Within CO+I, the Core Datacenter Services (CDS) team is responsible for improving overall availability and efficiency for Microsoft’s cloud business. We have multiple teams focused on datacenter performance and all aspects of datacenter utilization effectiveness that includes power, water, supply chain, and labor. We are seeking a Business Analyst

Requirements

Master's 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 OR Bachelor's 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 OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Master's 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 OR Bachelor's 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 OR equivalent experience.

Responsibilities

Data Analysis
Determines appropriate analytical tools and techniques to address business questions, executes analyses and interprets results with actionable recommendations, and partners to build on others' frameworks. Critically evaluates assumptions about data or analysis methods to ensure they are appropriate for answering business questions in context and provides feedback on features and functions of analytical tools (e.g., algorithms, statistical models) developed by Engineering or Data Science teams.
Evaluation
Determines factors and/or data types to include in the evaluation of the impact of business, product, and/or operational decisions with little or no guidance. Ensures that evaluations can account for anticipated risks and applies learnings from previous evaluations. Analyzes and reports results or expected outcomes, and identifies relevant recommendations and/or connections to results of other work.
Expertise in Data
Leverages appropriate types of data and/or metrics, determines alignment with business needs and whether to integrate additional data. Identifies and takes steps to address gaps and/or quality issues in data with data providers, in partnership with other teams. Applies data governance standards to solutions with guidance and understands how security (encryption, role restrictions) are aligned with company policy.
Improvement, Efficiency, and Innovation
Recommends efficiency improvements for core work related to analytics and reporting that are reusable, self-service, and directed to meaningful interpretation of data and driving business decisions. Evaluates the viability of automated methods including efficiency gains that leverage AI for use in reporting, and/or analysis and makes recommendations for whether to make them standard practices.
Orchestration and Collaboration
Works within and across teams to deepen expertise in data sources, methodologies, analytical tools and processes, and business and client needs, to facilitate relevant insight generation, reporting, and interpretation. Engages stakeholders to identify and act on opportunities to leverage resources and solutions that were instrumental to success in similar contexts, and consults across teams on decisions related to analyses, insights reporting, and/or their interpretations.
Presentation of Results
Develops appropriate presentations that tell stories of analyses, including dashboards, reports, data visualizations, self-service platforms, slides, and talking points. Ensures presented results are accessible, provide information accurately and clearly, and appropriately speak to the needs of the intended audience(s). Recommends and makes improvements to presentations as appropriate.
Understanding the Business
Develops a solid understanding of the business across multiple areas, considers relevant external trends, anticipates business problems, and probes for insight to understand problems beyond stated concerns. Begins to connect themes across internal work activities and relevant external trends and anticipates potential business questions.