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The Sr Business Analysis Manager delivers big insights and helps leaders throughout the business to make critical strategic and operational decisions and craft the long-term vision of T-Mobile. This role will be supporting our Digital Postpaid and Home Internet business partners proactively delivering insights, analysis, and reporting using various analytical techniques and software including statistics, data science, data mining, machine learning and business intelligence/reporting software. They build customer-centric recommendations informed by analysis, good business insight and partner with the business to drive improvements in a matrixed environment through creativity, and effective communication. They lead collaborative efforts with various teams including marketing, product and platform teams on sophisticated digital and omni-channel analysis requests. This position also leads the design and development of digital KPIs, reporting structures & interfaces, as well as administration of standardized reports to be applied across teams. They are comfortable acting as an internal digital data SME and know where datasets are that will answer business questions.
Job Responsibility:
Serve as digital analytics SME for digital business partners while engaging various teams across T-Mobile to provide insights, analysis and recommendations that deliver data-driven, optimized experiences for our digital businesses
Serve as a key point of contact in providing digital data and reporting solutions to drive digital business team and enterprise results, including reports, dashboards, visuals, and self-service environments
Partner with marketing technology team to ensure digital data integrity
Construct executive-level presentations and present sophisticated analytical findings in clear, concise, and decision-impacting manner
Requirements:
Bachelor's Degree Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience
7-10 years Analytics experience solving analytical problems using quantitative approaches
5+ years of experience using digital analytics tools (such as Adobe Analytics, Customer Journey Analytics, Quantum Metrics, etc.) to identify trends and drivers that improve customer facing digital experiences and conversion
Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.)
Sophisticated analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research
Experience with Python, R or similar statistics or data science language preferred
Telecommunications background preferred
At least 18 years of age
Legally authorized to work in the United States
Nice to have:
Telecommunications background
Experience with Python, R or similar statistics or data science language
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