Senior Analyst at Microsoft

Senior Analyst Details

April 29, 2019, 3:33 p.m.
Business Programs & Operations
Individual Contributor
Redmond, WA
Advanced Analytics team At Microsoft we
Do you enjoy using your quantitative and analytical skills to find and solve big problems? Are you interested in driving data-based decisions to tackle strategic challenges in the area of diversity and inclusion? We are looking for someone to do just that in the context of Microsoft's biggest asset - our people. At Microsoft we believe the global marketplace requires a company culture and an inclusive business environment where the best and brightest diverse minds work together in creating solutions that address customers' needs. Our employees' varied perspectives, skills, and experiences combine to deliver the spark that ignites innovation at Microsoft. The Human Resources Research and Advanced Analytics team is looking to hire a Senior Analyst to directly support the measurement and analytics needs of the Global Diversity and Inclusion (GD and I) team.

• Own and support the end-to-end analytical process for GD and I people-related business questions and outcomes • Analytical projects will range from proactive, complex, longer term deliverables to very short-fused, reactive, quick-and-dirty insights we can provide "just-in-time" in order to impact a decision that will be made immediately • Contract with customers, partners, and co-workers to define research questions, analysis plans, and deliverable timelines (with some support) • Work directly with data, from initial extraction through preliminary analysis to results validation • Translate findings
• 5+ years of experience applying analytical methods to business problems, driving improved decision-making and outcomes • Knowledge of diversity and inclusion concepts and programs • Strong statistical analysis skills, including the ability to communicate somewhat complex quantitative analysis in layman's terms, and tell succinct, impactful stories to senior management without overwhelming them with data and details • Strong knowledge of statistical software (R or SPSS preferred) • Strong data extraction, cleansing, and manipulation skills in support of multivariate analysis (R, SQL, Excel or
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