This position must be located in Bellevue, WA; Frisco, TX; Overland Park, KS; New York, NY; or Maitland, FL. This is not a remote role - this is a hybrid schedule requiring at least 3 days a week in office.

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.

Job Responsibilities:

• 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.
• Also responsible for other duties/projects as assigned by business management as needed.

Education and Work Experience:

• 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)
• Telecommunications (Preferred)

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

Base Pay Range: $68,000 - $122,700

Corporate Bonus Target: 10%

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ357800¶dox=1

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!