Data Analyst

T-Mobile

Data Analyst role at T-Mobile analyzing data to support business decisions and improve data quality. Collaborating with stakeholders to deliver accurate and actionable insights.

Posted 6/20/2026full-timeBellevue • Florida, Kansas, Texas, Washington • 🇺🇸 United StatesJuniorMid-Level💰 $68,000 - $122,700 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudHadoopKafkaSparkSQLTableau

About the role

Key responsibilities & impact

Assist in monitoring data quality metrics, scorecards, and controls to identify data anomalies, inconsistencies, and quality issues.
Investigate data discrepancies and support root cause analysis efforts in partnership with Data Quality, Reporting, and Data Engineering teams.
Track and document data quality issues, resolutions, and corrective actions.
Create and maintain process documentation, standard operating procedures, and quality control documentation.
Support audits, compliance reviews, and governance assessments by gathering and organizing required documentation.
Recommend process improvements that enhance data quality, governance effectiveness, and operational efficiency.
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.
Responsible for other duties/projects as assigned by business management as needed.

Requirements

What you’ll need

Bachelor’s degree in business Analytics, Business Administration, Statistics, Mathematics, or a related field; combination of education and experience deemed equivalent (required)
Familiarity with data governance principles or data management best practices is a plus.
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 in 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)

Benefits

Comp & perks

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off and 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data quality metricsdata profilingdata queryingdata cleaningdata wranglingSQLstatistical techniquesdata visualizationbig data architecturedata governance principles

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingpresentation skills