Data Analyst at Microsoft

Data Analyst Details

June 26, 2019, 8:07 p.m.
Individual Contributor
Redmond, WA
and Analytics team Satya Nadella, Microsoft
"I fundamentally believe that if you are not learning new things, you stop doing great and useful things" – Satya Nadella, Microsoft CEO Are you someone with a passion for data, analytics, insights and driving business results? The Learning Decision Science and Analytics team (DnA) works with the Microsoft Learning Organization and Commercial Business to understand and grow the impact of learning for our employees, partners and customers. We are insatiably curious, self-directed, collaborative, results-driven people seeking a creative, analytical and experienced analyst who loves big data, desires to lead as a data counselor within the organization, and is passionate about driving better business decisions and improving Microsoft's Culture of Learning. To be successful in this role, you must be driven, self-directed, customer/learner obsessed and focused on delivering the right results at the right time.  You also thrive in a team environment that values cross team collaboration and building

Develop holistic data views and reports to understand learning program health and drive action Perform statistical analyses to influence strategic decisions with data-driven insights Drive best practices and enable scale in business rhythms Partner with data engineering to design efficient and scalable solutions Collaborate with data scientists to drive deeper insight and explore advanced models to solve business problems.
Bachelor's degree+ in Statistics/Math/Computer Science/Finance or related field 3+ years in an analytical field (data engineering, data science, analytics, business intelligence and reporting, finance, or other relevant area) Experience developing insightful reporting for business stakeholders and leadership Proficient in data-driven storytelling via reports and exec visualizations: ability to frame complex analyses and tell succinct, impactful stories to senior management 1+ year experience using statistical programming languages (Python, SQL) for data access, wrangling, and statistical modeling
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