Data Analyst jobs in United States
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T-Mobile · 16 hours ago

Data Analyst

T-Mobile is a leading telecommunications company that invests in its employees through a comprehensive Total Rewards Package. The Data Analyst will analyze business requirements, convert them into data requirements, and leverage AI and automation platforms to enhance data tracking and reporting processes.

InternetMobileTelecommunicationsWireless
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H1B Sponsor Likelynote

Responsibilities

Collaborate with Business SMEs, Product owners, Data Stewards, and Data Architects to identify critical data elements, define business terms, capture metadata, define data schema, clean, and prepare data in an appropriate format to perform analysis. Analyze data using statistical techniques to identify trends and patterns (e.g. growth/decline in key metrics) and create visualizations and reports to present findings to business stakeholders and/or data scientists for further actions
Define analytics tagging requirements for new and enhanced web/app features and ensure alignment with business KPIs
Automate the generation of analytics event specifications using AI/LLM tools (e.g., GPT-based models, generative automation platforms)
Perform data profiling, assess, and monitor the quality of data by working with the Data stewards, Data quality leads, and internal stakeholders and support the implementation of data quality rules and remediation of issues
Collaborate/Partner with product owner and agile delivery teams to ensure that the project/product is delivered with quality and in time
Interpret data models (Logical and Physical) and ensuring they align with the solution design. Convert user requirements into technical specifications and design documents, and identifying new data sources for the data warehouse
Also responsible for other Duties/Projects as assigned by business management as needed

Qualification

SQLData VisualizationData CleaningStatistical TechniquesAI WorkflowsPythonAgile MethodologyCommunication SkillsProblem Solving

Required

Bachelor's Degree (Required)
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. Required
2-4 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data. Required
2-4 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Required
2-4 years Experience working with relational databases using SQL Required
2-4 years Experience with data visualization tools such as Power BI, Tableau etc Required
Experience of relational databases, data warehousing and data architecture computer systems, including not limited to SQL , Python (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

Preferred

2-4 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus Preferred
Certified Analytics Professional (CAP) SnowPro Advanced: Data Analyst CompTIA Data Analytics Plus certification Microsoft Certified: Power BI Data Analyst Associate (Preferred)

Benefits

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
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
Voluntary long-term care insurance
Mobile service & home internet discounts
Pet insurance
Access to commuter and transit programs

Company

T-Mobile

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T-Mobile is a telecommunications company that provides wireless communication services, including mobile phone and internet services. It is a sub-organization of Deutsche Telekom.

H1B Sponsorship

T-Mobile has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (533)
2024 (457)
2023 (433)
2022 (674)
2021 (522)
2020 (320)

Funding

Current Stage
Public Company
Total Funding
$17.37B
2026-01-05Post Ipo Debt· $2B
2025-10-06Post Ipo Debt· $2.8B
2024-09-23Post Ipo Debt· $2.5B

Leadership Team

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John Saw
President of Technology, Chief Technology Officer
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Peter Osvaldik
EVP & CFO
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Company data provided by crunchbase