Do you have a passion for data, analytics, and technology? Are you looking for an opportunity to make an impact with your data intelligence and problem-solving experience in one of the most innovative corners in Microsoft? The Surface team is where Microsoft showcases the full power of Windows through premium devices. Across hardware and software engineers, designers, and manufacturing, we pushed the technology boundary to create new personal computing experiences never seen before. Your data expertise will be indispensable to impact the entire life cycle of our innovation. The Data Analytics and Selfhost team is tasked with providing various data insights to the Microsoft Devices organization and its partners. We have a wide range of target audiences inside and outside of the Surface organization. Our problem space ranges from traditional software and hardware telemetry analysis, sentiment analysis, user behavior analysis, return analysis, manufacturing analysis ... etc. Through data,
How you will make an impact: Apply data intelligence and problem-solving experience to develop and support descriptive, predictive, prescriptive solutions and related decision support efforts. Manipulate, analyze, tell a story, and have an opinion on complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques End-to-End data project ownership/contribution including requirement gathering, data pipeline, data visualization, insight analysis, and providing value and support to stakeholders Define/Prototype/Implement metrics and methodology
Desired skill sets and experiences: Capable of architecting big data and designing data pipelines on Microsoft's internal and external big data technology stack Experienced in data querying, analytics, science and visualization toolkits (Scope, SQL, Kusto/Splunk, R, SAS, Python, Power BI or similar languages) with solid programming, debugging and analytical skills. Demonstrable statistics, mathematics, and problem-solving skills with experience in building statistical and predictive models. A self-starter with a strong passion about the power of data and analysis. Experience is leading cross functional