Senior Business Analysis Manager

About the position

The Senior 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. The Sr Business Analysis Manager is 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. 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 modeling and analysis requests. This position also leads the design and development of reporting structures & interfaces, as well as administration of standardized reports to be used across teams. They are comfortable acting as an internal data SME and know where datasets are that will answer business questions.

Responsibilities

• 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.
• Use analytical and modeling capability to improve 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 sophisticated analytical findings in clear, concise and decision-impacting manner.

Requirements

• Bachelor's Degree in Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience.
• 7-10 years Analytics experience solving analytical problems using quantitative approaches.
• Experience with SQL analysis of complex datasets, competitive analysis, quantitative analysis & research.
• Experience with Python, R, Go or similar statistics or data science language.

Nice-to-haves

• Experience in Telecommunications.

Benefits

• Medical, dental and vision insurance.
• Flexible spending account.
• 401(k).
• Employee stock grants.
• Employee stock purchase plan.
• Paid time off and 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.