|Job Type:||Full Time|
The SharePoint Online (SPO) Service Reliability Engineering (SRE) team delivers SharePoint services to customers globally. Most customers are Fortune 500 companies and nearly all are recognizable household names. Today we are the top hosted service providers in the world with millions of seats sold and active on our platform.
The SPO team is looking for an experienced Data Analyst. You’ll be joining a team of passionate professionals focused on service reliability, incident response and shape how we think about service disrupting events and the associated reporting and analytics to support all aspects of our business. You’ll help us build and curates an end to end data pipeline and reporting suite, deep data analysis as well as advanced data science. You’ll develop insights that are used in scenarios spanning increasing service reliability, early degradation detection, customer satisfaction, defining and tracking key business metrics and informing the future roadmap for the business. We are a highly collaborative team that works in close collaboration with our stakeholders and engineering partners.
Partner with teams across SRE, engineering, business stakeholders and field organizations to provide key business insights
Partnering deeply with program managers and engineers to bring data to their business decision making
Work with these stakeholders to define clear signals of success, which translate into simple, easily understood metrics that drive our processes and business
Work with Data Science and Data Engineering resources to develop requirements for data, reporting, views, tools etc.
Lead deep dives and analyses into metric performance and special projects
Define and build data models to meet business requirements
Build Business Intelligence applications to surface and report data and insights
Build expertise in our telemetry signals, investigate data quality and implementation issues, ensure successful rollout of signals and ongoing telemetry health
Prepare specifications, documentation, reports and presentation materials
Degree in Statistics/Math/Computer Science/Economics/Business or Engineering
Advanced working knowledge of large data manipulation and data mining using SQL or similar tools
Advanced knowledge of OLAP/MOLAP technologies and MDX
Advanced Excel and PowerPoint skills, as well as visualization tools
Exceptional problem solving, technical and data analysis skills
Great written and verbal communication and presentation skills
Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data
Ability to work in a team environment that promotes collaboration
Experience with Data Lake infrastructures (Cosmos, Hadoop or similar)
Candidates must pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.