Summer 2026 Data Analyst Internship

T-MobileBellevue, WA
1d$20 - $40

About The Position

T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop! Get hands-on experience, training—and a leg up on a bright future. Learn. Achieve. Build a Career. T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way! This is a 11-week paid learning experience during which you'll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You'll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We'll give you hands-on projects and the chance to create an immediate impact. This role supports organizational decision-making by analyzing business requirements and translating them into data requirements such as reports and visualizations. It involves analyzing and interpreting complex data sets to identify trends and inform business strategies. The role requires collaboration with various stakeholders to define data elements, capture metadata, and prepare data for analysis. Success is measured by the accuracy and relevance of data insights and the timely delivery of data products. The work impacts the organization by enabling data-driven decisions and improving data quality management processes.

Requirements

  • Bachelor's Degree OR graduate degree. Must graduate between December 2026 or June 2027 to be eligible.
  • Technology Knowledge of relational databases and data architecture computer systems, including not limited to SQL (Required)
  • Technology Experience working with relational databases using SQL (Required)
  • Technology Experience with Data querying, cleaning, wrangling, working with common relational and non-relational databases in big data environments such as Azure, AWS and Google Cloud. (Required)
  • Technology Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data (Required)
  • Technology Data Visualization skills using tools such as PowerBI, Tableau etc (Required)
  • Communication Excellent presentation, communication, and organizational skills (Required)
  • Agile Familiarity with Agile Methodology (Required)
  • Problem Solving Strong analytical, critical-thinking skills with demonstrated ability analyze/synthesize data and generate insights. (Required)
  • At least 18 years of age
  • Legally authorized to work in the United States
  • High School Diploma or GED
  • Must be actively enrolled in a degree program or graduated within the last year
  • Employees of T-Mobile or Metro by T-Mobile are ineligible for internships

Nice To Haves

  • 2-4 years Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud. (Preferred)
  • 2-4 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data. (Preferred)
  • 2-4 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Preferred)
  • 2-4 years Experience working with relational databases using SQL (Preferred)
  • 2-4 years Experience with data visualization tools such as Power BI, Tableau etc (Preferred)
  • 2-4 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus (Preferred)

Responsibilities

  • Collaborate with business subject matter experts and data professionals to define critical data elements and prepare data for analysis
  • Perform data profiling and monitor data quality by working with data stewards and quality leads to support remediation efforts
  • Partner with product owners and agile teams to ensure timely and quality delivery of data-related projects
  • Interpret data models and convert user requirements into technical specifications and design documents
  • Also responsible for other duties/projects as assigned by business management as needed
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