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T-Mobile's Corporate Strategy & Analysis team is an internal consulting team that works with executive leaders from across the company. Employing deep problem solving skills, the team delivers insights and helps leaders make critical strategic and operational decisions. This role owns workstreams on projects that take on complex and ambiguous problems and drive groundbreaking change (e.g., Sprint merger), create new businesses (e.g., Home Internet), and bring innovation to T-Mobile's customers (e.g., Binge On). A Corporate Strategy Manager structures analyses, performs analyses, and delivers insights to support those decisions.
Job Responsibility:
Structure analytical problems, extracting and analyzing data, and presenting findings
Build financial and other decision-making models
Synthesize recommendations and understand their impact on the business
Work with client organizations to build consensus and motivate change
Perform scenario and sensitivity analysis to enhance decision making across a range of options
Coordinate cross-functional activities, such as analysis for CS&A input and message development
Perform a leading role on projects, working closely with internal clients to understand key business issues and structure problem solving approaches
Construct executive level presentations and present complex analytical findings in clear, concise, and decision-impacting manner
Requirements:
Bachelor's Degree required
preferrably in Business (Finance, Accounting, Finance)), Economics, Statistics, or other quantitative/ technical fields (e.g., Engineering, Math, Physical Sciences, etc.)
Master's/Advanced Degree Business Administration or quantitative field (e.g., Economics, Statistics, Operations Research). (Preferred)
4-7 years Related Corporate Strategy experience. (Required)
Up to 2 or more years Management consulting, investment banking, corporate strategy or other experience requiring quantitative analysis. (Required)
Problem Solving: “Consulting-style” problem solving that can break ambiguous problems into pieces using a hypothesis-driven approach. (Required)
Analytics: Perform broad array of analytic capabilities: descriptive analytics on big data sets, predictive analytics, complex modeling, etc.. (Required)
Financial Analysis: Comfort with reading and understanding implications of income statements, balance sheets, cash flow statements. (Required)
Executive Level Presentations: Contextually modulate language and message to tailor to audience (presenting up to VP level). (Required)
Build logical narrative structures independently and create compelling visualizations. (Required)
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