At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

As a Principal Analyst, Data at T-Mobile, you will play a critical role in transforming how we manage demand, capacity, and prioritization across the enterprise. Your primary responsibility will be to measure existing metrics, identify gaps in tracking and analysis, and propose innovative systems and processes to enhance visibility and accuracy. By implementing scalable solutions, you will enable better alignment with T-Mobile’s strategic goals and drive data-informed decision-making.

This role requires expertise in data analytics, metric frameworks, and process optimization, combined with the ability to collaborate across technical and business teams with strong understanding of business processes and financial metrics. You will directly influence operational efficiency and resource management by ensuring the right metrics are measured, tracked, and actionable.

Job Responsibilities:

• Measures and evaluates key metrics related to demand, capacity, and prioritization to inform strategic decisions.
• Designs and implements frameworks/tools to align metrics with T-Mobile’s strategic goals and operational efficiency.
• Identifies gaps in metric tracking and proposes scalable tools and processes to enhance measurement accuracy
• Communicates actionable insights and recommendations to stakeholders through reports and presentations
• Supports the optimization of resource allocation and prioritization using data driven insights
• Leads and mentors junior analysts, fostering a culture of continuous learning and development
• Also responsible for other duties and projects as assigned by business leadership as needed.

Education:

• Bachelor's Degree Computer Science, Data Science or Related Field (required)

• Master's/Advanced Degree Data Science or Business Analysis (preferred)

Work Experience:

• 4+ years' Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka
• 7+ years' Experience working with relational databases using SQL and data querying, cleaning, wrangling, working with common relational and non-relational databases in big data environments such as Azure, AWS and Google Cloud
• 7+ years' Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
• 7+ years' Experience working with Python or R programming for data analysis and automation.

Preferred Knowledge, Skills and Abilities:

• Data Analysis: Ability to analyze data and present findings and recommendations to Senior Management.
• Strategy Implementation: Ability to apply data analysis to real-world business situations.
• Executive Support: Proven ability to work effectively with Senior and Executive level management.
• Relational Databases: Knowledge of relational database, data modeling, systems design and integration.
• Wireless industry experience.
• Financial Reporting Financial reporting experience.
• Project Management Project Management experience.
• Software Development Software development experience.
• Enterprise Software Experience with enterprise software applications (POS, CRM, SAP, Content Management Publishing, Billing Systems).

Licenses and Certifications:

• Certified Analytics Professional (CAP): Certification that demonstrates proficiency in data analytics and the ability to transform complex data into actionable insights. (Preferred)
• SnowPro Advanced: Data Analyst: Certification that validates the ability to work with big data environments and conduct advanced data analysis. (Preferred)
• CompTIA Data Analytics Plus certification: Certification that validates the ability to analyze, validate, and present data in a meaningful way. (Preferred)
• Microsoft Certified: Power BI Data Analyst Associate: Certification that demonstrates proficiency in using Power BI for data analysis and visualization. (Preferred)

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No):No

DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No

Base Pay Range: $104,300 - $188,200

Corporate Bonus Target: 20%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

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.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.