Lead Data Analysis

• Collect, process, cleanse, and validate data from multiple internal and external sources.
• Define, maintain, and improve data rules, mappings, transformations, and interface requirements.
• Identify, investigate, and resolve data discrepancies across systems to improve accuracy, consistency, and reliability.
• Monitor data quality, hierarchy integrity, and matching outcomes; recommend scalable corrective actions and logic improvements.
• Support production data processes across the lifecycle, including pre-production validation, production issue resolution, and post-production monitoring.
• Partner with business, analytics, and technology teams to ensure trusted data supports reporting, segmentation, and decision-making.
• Contribute to automation and advanced data quality initiatives that reduce manual rework, operational risk, and downstream escalations.
• Translate data issues into business impact and prioritize improvements that enhance efficiency, accuracy, and scalability.

• Experience working in complex, multi-source enterprise data environments.
• Strong knowledge of data quality, data governance, hierarchy management, and account or customer matching concepts.
• Ability to analyze root causes, assess downstream impacts, and implement durable data quality improvements.
• Experience supporting production data environments with a focus on stability, scalability, and issue resolution.
• Demonstrated proficiency using SQL (Snowflake preferred but SQL Server, Oracle, and Teradata are also relevant), analytical or data tools such as Python to analyze data, validate outputs, and resolve complex data issues; AI tool experience is a plus.
• Strong collaboration, communication, and prioritization skills across business, analytics, and technology teams.
• Experience supporting automation or AI/ML-enabled data maintenance initiatives is a plus.

Job Contribution: Recognized as an experienced professional with broad and in-depth knowledge, this role resolves complex data issues, leads significant initiatives with strategic autonomy, and influences decisions that improve enterprise data quality and operational performance. The position collaborates across teams, supports long-term data improvements, and may mentor less experienced staff.

Supervisor: No

TCP Career Step Differentiator: Manages complex data movement and storage from multiple sources, and high-level analytics to solve business problems.

Education/Experience: Bachelor’s degree preferred in Computer Science, Mathematics, Information Systems, or a related field. Typically requires 5+ years of relevant experience in data analysis, data quality, data management, or related disciplines. Certifications may be required in some areas.

Our Lead Data Analysis, earns between $130,700 - $196,100. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: 8critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
• AT&T internet (and fiber where available) and AT&T phone

If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.