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T-Mobile

Business Analysis Manager – Data Quality

T-Mobile

Business Analysis Manager leading data quality initiatives for T-Mobile. Collaborating with cross-functional teams to ensure trusted data for decision-making.

Posted 6/18/2026full-timeOverland Park • Florida, Kansas, New York, Texas, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $77,900 - $140,500 per yearWebsite

Tech Stack

Tools & technologies
GoPythonSQLTableau

About the role

Key responsibilities & impact
  • Partner with data engineering, reporting, and business insights teams to validate data accuracy from source systems through report delivery and analytics consumption.
  • Lead data quality monitoring processes, controls, and audits to ensure data integrity across data warehouses, data lakes, and reporting environments.
  • Develop and maintain data quality frameworks, standards, metrics, and scorecards that measure data health and operational effectiveness.
  • Collaborate with cross-functional teams to analyze data requirements and support architecture, design, and implementation efforts that improve data reliability.
  • Investigate, troubleshoot, and resolve data discrepancies, defects, and integration issues through root cause analysis and corrective action plans.
  • Oversee data profiling, validation, reconciliation, and data wrangling activities involving structured and unstructured data sources.
  • Manage data quality workstreams and support project delivery by assisting with planning, prioritization, estimation, and resource allocation.
  • Facilitate workshops, design reviews, and stakeholder meetings to drive alignment on data quality requirements and governance practices.
  • Mentor and develop team members in data quality methodologies, governance standards, and analytical problem-solving techniques.
  • Support management reporting, executive presentations, and status communications regarding data quality performance and improvement initiatives.
  • Ensure compliance with enterprise data governance policies, standards, and regulatory requirements.

Requirements

What you’ll need
  • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
  • 4-7 years Working experience solving analytical problems using quantitative approaches (Required)
  • 4-7 years Working experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
  • 4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
  • Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred)
  • Telecommunications (Preferred)

Benefits

Comp & perks
  • 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
  • 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 monitoringdata profilingdata validationdata reconciliationdata wranglingSQLquantitative analysisdata visualizationadvanced analyticsroot cause analysis
Soft Skills
collaborationmentoringanalytical problem-solvingcommunicationleadershipfacilitationplanningprioritizationresource allocationstakeholder engagement