Sr Manager, Data Insights

Job Description:

At T-Mobile, we are working hard to build the future of hyper fast and reliable wireless networks, which will change the internet and accelerate innovations such as smart cities, autonomous driving, and internet of things. Come join the exciting Analytics team that is enabling future innovations. We work alongside domain experts, business stakeholders, big data engineers, and many technical partners across the technology and engineering organization to develop actionable insights from dashboards, reporting and analytics. We dive deep into large and complex datasets using a variety of tools to create insights and data visualizations that are actionable and easy to understand. We are not afraid to build our success on the foundation of failing fast and learning from mistakes.

We are looking for a seasoned analytics leader to build and lead our Data Insights team. You will hire and develop a team of world class business analysts, data scientists, and technical product managers to solve complex problems in a highly ambiguous and rapidly evolving environment. In this high-profile role, you will support leaders across several functions in identifying and developing a portfolio of operational dashboards, ad-hoc reports, cubes and self-service report solutions that are clear, concise and actionable.

Are you passionate about developing and leading analytics and data science teams? Do you enjoy working with non-technical users to understand their analytical needs and help them effectively use data and analytics? Do you have extensive analytical and data visualization experiences? Are you a creative problem solver with a passion for transforming data into a story to recommend a course of action? Do you enjoy using data to influence others in making better decisions? Do you love all things data and have a hunger to learn? If this sounds interesting, we want to speak with you!


  • Create and execute on the vision for the Data Insights team
  • Analytical thought partner to technology, engineering and business leadership
  • Continuous and rapid prototyping of analytics, methodologies, dashboards, insights and self-service tools to address evolving business challenges
  • Manage intake, prioritization and trade-offs across multiple functions at all levels of the organization
  • Hire, develop, and manage a highly technical team including but not limited to business analysis, data science and technical product development
  • Leverage design skills to build complete suite of user-oriented dashboards and meaningful, actionable data visualizations to meet the needs of the organization
  • Present all data insights and findings in succinct and creative ways using data visualizations for a broad audience, including all levels of leadership, technology, business and finance
  • Perform deep-dive analyses to answer complex questions and deliver insights on the root causes of issues and make recommendations on how to best monitor and meet them
  • Lead discussions on analytics and interpretation of results
  • Meet cross-functional technical and non-technical teams to understand data needs, define user stories & problem statements, collect data, document schemas & report requirements, and write specifications
  • Thought leadership on various tools, applications, and/or queries to create and configure reports and dashboards
  • Lead deep dives of complex datasets and problems across multiple functions to identify actionable insights and recommendations
  • Institute highest data accuracy and quality standards across the analytics team via mechanisms including but not limited to proactive monitoring, testing and fixing data issues
  • Work with data infrastructure, systems, architecture, tooling and process teams to triage data-quality issues and drive long term improvement
  • Become a domain expert spanning multiple functions and datasets, digging into the details through focus groups and stakeholder feedback to summarize context, problems, and solutions


  • Bachelor's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics)
  • 10+ years of experience providing support and guidance to the most senior levels of leadership
  • 10+ years of hands-on experience with complex data extraction, cleaning, analysis and presentation
  • 7+ years of people management experience leading analytical teams that own the development of operational dashboards, reporting, insights and metrics
  • 7+ years of hands-on experience developing user-oriented dashboards and reports with actionable insights and data visualizations by using a variety of analytical software packages and platforms.
  • Comfortable with ambiguity and applying creativity to solve complex problems
  • Critical-thinking, problem-solving, and goal-setting skills
  • Ability to set clear, measurable goals for the team that is in alignment with leadership
  • Strong written and oral communication skills with the ability to influence decision makers and build consensus with teams
  • Ability to multi-task across a portfolio of complex analytical projects, stay organized and manage priorities
  • Strong proficiency in different SDLC and Agile methodologies
  • Experience with presenting recommendations to broad audiences with business outcomes as result of influence
  • Ability to influence using data-driven insights to drive change and actions
  • Advanced SQL skills to perform data segmentation and aggregation from scratch using multiple databases such as Oracle, Teradata and Big Data Technologies
  • Practice and patience with unclean data with the follow-through to fix it long term
  • Expert level dashboard design and development skills
  • Expert knowledge of Tableau, Power BI, or equivalent data visualization and reporting/data manipulation tool
  • Ability to tune performance of dashboards/reports developed by end-user community and provide best practice training to end-users

Minimum Qualifications:

  • Master's degree or PHD in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics)
  • Familiarity with supply chain, cost modeling, procurement, network engineering or telecom industries
  • Experience with programming languages and statistical packages (e.g. Python, R, SAS)
  • Understanding of fundamental computing concepts including data structure and algorithms (e.g. trees, graphs, file formats, regressions, correlations)
  • Ability to learn and utilize new analytics software
  • Excellent knowledge of database design, data modeling and architecture, and data warehousing
  • Understanding in designing dimensional and relational models, star and snowflake schemas and different DW design paradigms
  • Knowledge of Microsoft BI technology (SSRS, SSIS, SSAS).
  • Entrepreneurial spirit and interest in advance analytics, big data, machine learning, and AI
  • Product management and project management experien ces

Company Profile:

As America's Un-carrier, T-Mobile USA, Inc. (NASDAQ: TMUS) is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company's advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit

EOE Statement:

We Take Equal Opportunity Seriously - By Choice. T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law.

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