Interact with various teams across the T-Mobile to provide insights, analysis and recommendations that deliver data-driven, optimized experiences.
Serve as a key point of contact in providing data and reporting solutions to drive enterprise results, including reports, dashboards, visuals, and self-service environments
Define product feature and campaign success metrics and benchmarks.
Work with large, complex data sets to extract and summarize information using SQL, working in platforms such as Snowflake, Azure, and Databricks.
Use analytical and modeling capability to enhance decision making across a range of options and present findings and recommendations for prioritization of resources to all levels of the organization.
Construct executive-level presentations and present complex analytical findings in clear, concise and decision-impacting manner.
Possess the ability to influence leadership through fact-based analysis.

Bachelor's Degree in Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience (Required)
4-7 years of Analytics experience solving analytical problems using quantitative approaches
Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.)
Advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research
Experience with Python, R, Go or similar statistics or data science language preferred (Required)
Telecommunications experience (Preferred)
At least 18 years of age
Legally authorized to work in the United States

Business Analysis Manager – Care Demand Planning Insights and Automation

Key skills