Business Data Modeler & Strategist

Location Requirements

• Position must be located in New York, NY;
  Overland Park, KS; or Bellevue, WA. This hybrid role requires at least 3 days a week in office.

• Partner with business leaders to understand strategic objectives, operational processes, KPIs, and reporting requirements.
• Translate business needs into scalable data models, semantic layers, and analytical frameworks.
• Act as the primary liaison between business stakeholders and IT teams to ensure business requirements are accurately represented in technical solutions.
• Drive alignment on business definitions, metrics, hierarchies, and data standards across organizations.
• Identify opportunities to improve data accessibility, usability, and consistency across the enterprise.

• Design and maintain conceptual, logical, and business-facing data models that support enterprise analytics and reporting needs.
• Lead the design and governance of semantic layers to ensure consistent business definitions and metric calculations across reporting platforms.
• Define data relationships, hierarchies, dimensions, measures, and business rules to support scalable self-service analytics.
• Partner with data engineering and architecture teams to ensure data structures align with business requirements and analytical use cases.
• Validate that data models effectively support frontline operations, leadership reporting, and executive decision‑making.

• Collaborate with IT, Data Engineering, Data Governance, and Business Intelligence teams to prioritize and deliver data solutions.
• Participate in agile planning, requirements gathering, user acceptance testing, and solution validation activities.
• Provide guidance and oversight for new data initiatives, ensuring business outcomes remain at the center of solution design.
• Drive continuous improvement in data quality, usability, and adoption.
• Influence enterprise data strategy by advocating for scalable and business‑centric data solutions.

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical experience (Required)
• 4-7 years of experience solving analytical problems using quantitative approaches (Required)
• 4-7 years of experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
• 4-7 years of experience in advanced analytics, including SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
• Experience with Python, R, Go or similar statistics or data science language preferred.
• Telecommunications background preferred.
• (Micro)
  Strategy tool experience preferred.
• Power Automation Suite Experience, including Power apps preferred.

• Business Acumen (Required)
• Dashboard Development (Required)
• Data Analysis (Required)
• Data Storytelling (Required)
• Executive Presence (Required)
• Financial Modeling (Required)
• People Management (Required)
• Project Management (Required)
• Stakeholder Management (Required)
• Strategic Thinking (Required)

• Other Business Certification preferred.
• At least 18 years of age.
• Legally authorized to work in the United States.

Base Pay Range: $77,900 - $140,500. Corporate Bonus Target: 15%.

The actual starting pay will vary within this range based on location, qualifications, and experience.

Employees receive a comprehensive benefits package that includes medical, dental, and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off, 12 paid holidays (≈4 weeks for full‑time employees), parental leave, family‑building benefits, childcare subsidy, tuition assistance, college coaching, long‑term and short‑term disability, voluntary life and disability insurance, mobile service and home internet discounts, pet insurance, and commuter and transit programs.

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, religious affiliation, 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, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.