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Business Analysis Manager – Retail Distribution Strategy, Analytics
T-MobileBusiness Analysis Manager optimizing distribution strategy and analytics for T-Mobile's retail channels. Analyzing performance data and providing recommendations to drive enterprise results across teams.
Posted 7/11/2026full-timeBellevue • Kansas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $77,900 - $140,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and visualization, utilizing tools such as Tableau and Power BI to drive insights and recommendations. Proficient in SQL and advanced analytics to solve complex analytical problems and enhance decision-making across the organization.
Highest-signal resume keywords
Data AnalysisData VisualizationSQL AnalysisTableauPower BI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisSQLData VisualizationQuantitative AnalysisAdvanced AnalyticsModeling CapabilityPerformance ReportingAnalytical Problem SolvingPythonR
Tools & Technologies
TableauPower BI
Certifications & Qualifications
Bachelor's Degree in Data AnalysisBachelor's Degree in Data Science
Industry Keywords
Telecommunications
Tech Stack
Tools & technologiesGoPythonSQLTableau
About the role
Key responsibilities & impact- Interact with various teams across 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.
- Utilize 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.
Requirements
What you’ll need- Bachelor's Degree in Data analysis, data science, similar quantitative fields or equivalent practical experience (Required)
- 4-7 years of working experience solving analytical problems using quantitative approaches (Required)
- 4-7 years of experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
- 4-7 years of experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
- Working experience with Python, R, Go or similar statistics or data science language preferred (Preferred)
- Telecommunications (Preferred)
Benefits
Comp & perks- medical, dental and vision insurance
- flexible spending account
- 401(k)
- employee stock grants
- employee stock purchase plan
- paid time off
- up to 12 paid holidays
- paid parental and family leave
- family building benefits
- back-up care
- enhanced family support
- childcare subsidy
- tuition assistance
- college coaching
- short- and long-term disability
- voluntary AD&D coverage
- voluntary accident coverage
- voluntary life insurance
- voluntary disability insurance
- voluntary long-term care insurance
- mobile service & home internet discounts
- pet insurance
- access to commuter and transit programs