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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 shape the long-term vision of T-Mobile. They are responsible for insights, analysis, and reporting using various analytical techniques and software including statistics, data science, data mining, machine learning and business intelligence/reporting software. The role involves creating customer-centric recommendations informed by analysis, providing data-driven solutions, analyzing financial strategies, ensuring efficient processes, and collaborating with internal and external teams for operational integrity.
Job Responsibility:
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
define product feature and campaign success metrics and benchmarks
handle purchase order setup, invoice processing (including tax considerations), and oversee audits to ensure accuracy and accountability
running monthly settlements with banking partners, preparing accruals for internal finance teams, and overseeing budget tracking to ensure alignment with financial goals
handle procurement requests, conduct third-party risk assessments, and prepare safety and soundness reports
apply analytical and modeling capability to enhance decision making across a range of options
construct executive-level presentations and present complex analytical findings in clear, concise and decision-impacting manner
identify key partners, both internally and externally, to formulate clear action plans
handle and drive system and process improvements
leverage customer insights to influence product feature set or technical improvements to improve customer experience
evangelize and champion an active Voice of the Customer feed for themselves and team
ensure alignment with business objectives internally and with external partners
Requirements:
Bachelor’s degree in data analysis, data science, decision science or similar quantitative fields required or equivalent practical experience
7+ years of experience in analytics solving analytical problems using quantitative approaches
reporting and analyzing performance and data visualization (Tableau, Power BI, etc.)
advanced analytics, including SQL analysis of complex datasets, competitive analysis, quantitative analysis and research
experience with Python, R, Go or similar statistics or data science language preferred
legally authorized to work in the United States
at least 18 years of age
experience working on projects in the telecommunications industry preferred
Nice to have:
Experience working on projects in a telecommunications industry preferred
experience with Python, R, Go or similar statistics or data science language preferred
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