Sr. Data Analytics Engineer

Role Description: Assist the Unified lead in creating insights to optimize / continuously improve performance of Unified Support in the Majors segment. Involves the creation of Power BI views, collaborating across teams (both business and technical) to publish insights as standard reports for HQ/field consumption. Apply in-depth knowledge of the support business, its data landscape, and the lineage of those data to proactively identify opportunities to explore and address business questions across multiple areas, ensuring alignment with strategic goals. Your expertise will be crucial in articulating business value and impact across multiple initiatives for the Majors segment. In your role, you will understand and anticipates both business and data requirements, identifies how to optimally integrate data, evaluate/propose analytic techniques and assumptions, and determines follow-up actions to share insights that drive decision-making to address specific business needs.

Responsibilities:Presentations of analytic results that explain the story behind the results via data visualizations, slides, and talking points that focus audiences on relevant insights, their business implications, and any limitations associated with the findings.You will collaborate with all Unified functions, and cross-organizational stakeholders (ex: Insights, Data Engineering & Analytics, Field, Finance, Support Sales, Offerings) to ensure data quality, appropriate use of tools and processes, leverage others’ data and/or models, and to drive the adoption of more efficient features, processes, and/or reporting tools across teams.You will work collaborate with Data Engineering teams to build needed data pipelines or integrations to address business needs and close data gaps and leverage relevant data and frameworks from other teams or organizations.Determine the scope of business and data requirements, source and integrate relevant data, develop appropriate data frames and analytical solutions, build and leverage connections across business areas, and articulate connections between business topics, relevant data, and/or analytical frameworks. Lead discussions to interpret analytical results, develops insights, and articulate pragmatic recommendations that are feasible and account for potential data limitations. Expert in data sources and data quality issues, and shares expertise to reinforce best practices and guide others. Interpret and shares insights, analytical expertise, and relevant data-driven results through various means, including dashboards, reports, data visualizations, self-service platforms, slides, internal forums, ad-hoc inquiries, and talking points that synthesize and simplify the most relevant findings and insights to tell a story that influences senior stakeholders' decision making and drives business outcomes. Proactively manages actions across their network of peers to leverage data, resources, and solutions that were instrumental to success in similar contexts, and shares expertise across teams to inform decisions related to data sourcing, analyses, and the interpretation of analytical results.

Required Experience:Deep understanding of the Microsoft Support business, supporting processes, roles, and data ecosystem Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 7+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysisOR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis