Sr Business Analysis Manager

T-Mobile T-Mobile · Telecom · Bellevue, WA +1

This role is for a Senior Business Analysis Manager at T-Mobile who will provide analytics and decision support to drive initiatives that create enterprise value. The primary focus is on driving pricing for the device financing portfolio using data science guided decision making, supporting growth, profitability, and risk tolerance. Responsibilities include building financial models, collaborating with various business units, analyzing promotion influences, developing SQL queries for data extraction and analysis, and producing ad hoc deep-dive analysis. The role requires strong quantitative and analytical skills, experience in pricing, financial modeling, and data analytics, with proficiency in SQL, Excel, and data science modeling tools like R and Python.

What you'd actually do

  1. Build financial models to evaluate opportunities and their impact on T-Mobile’s overall financial value
  2. Collaborate across functions, including marketing, finance, product management, corporate strategy, and sales, to manage price factors that influence customer acquisition, retention, and revenue
  3. Analyze various promotion influences, and to estimate the growth potential of different offers/credit moves
  4. Leadership in driving analysis from conception to production, getting alignment from stakeholders and providing an unbiased data driven POV on business
  5. Develop advanced SQL queries to extract and compile customer device purchases, financing, competitors' credit policies, and shopping behaviors data; analyze relevant data to answer key business questions; provide insights to help make business decisions

Skills

Required

  • Bachelor's Degree in Data analysis, data science, decision science, statistics, or similar quantitative fields OR Advanced degree with 5 years of related experience
  • 7-10 years of pricing experience
  • strong financial modeling
  • data analytics experience
  • Ability to translate customer needs and insights into actionable business levers
  • Excellent problem scoping and solving skills
  • business communication
  • experience working with cross-functional teams
  • Proficient in SQL querying
  • MS Excel
  • MS PowerPoint
  • data science modeling
  • reporting
  • visualization
  • analytics tools (R, Python, SQL preferred)
  • Strong data analysis background
  • good understanding of data science concepts
  • analytical skills to understand elasticities/ data levers
  • Proficient in financial analytics
  • pricing analytics
  • strategic/analytical frameworks
  • Communication Ability to manage relationships, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner at the executive level and provide decision support, analysis and recommendations that help to drive effective execution of initiatives
  • Problem Solving
  • Data Analysis Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment
  • Financial Modeling

Nice to have

  • Master or higher degree preferred in a Quantitative discipline, preferably Industrial Engineering, Operations Research, Statistics, Applied Math, Business, Finance, Economics or Information Management
  • R
  • Python
  • SQL

What the JD emphasized

  • pricing for device financing portfolio using data science guided decision making
  • pricing experience
  • Proficient in SQL querying
  • Strong data analysis background
  • Proficient in financial analytics, pricing analytics