Business Analysis Manager - Data Quality

T-Mobile•Maitland, FL

2d•$77,900 - $140,500•Hybrid

About The Position

The Business Analysis Manager, Data Quality is responsible for leading the execution of data quality initiatives that ensure the accuracy, completeness, consistency, and reliability of enterprise reporting and analytics solutions. This role partners closely with data engineering, reporting, business intelligence, and analytics teams to establish data quality standards, monitor data integrity, identify root causes of data issues, and implement sustainable remediation processes. The Business Analysis Manager, Data Quality oversees day-to-day data quality operations, drives governance adherence, and leads a team of analysts and data quality professionals focused on validating data across data warehouses, data lakes, reporting platforms, and analytical solutions. This role serves as a key liaison between technical and business stakeholders to ensure trusted data is available for operational and strategic decision-making.

Requirements

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical 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)
Business Acumen (Required)
Dashboard Development (Required)
Data Analysis (Required)
Data Storytelling (Required)
Executive Presence (Required)
Financial Modeling (Required)
People Management (Required)
Project Management (Required)
Stakeholder Management (Required)
Strategic Thinking (Required)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred)
Telecommunications (Preferred)
Other Business Certification (Preferred)

Responsibilities

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.
Perform additional duties and special projects as assigned.