Senior Data Analysis

• Collect, process, cleanse, and validate data from multiple internal and external sources.
• Apply and maintain established data rules, mappings, transformations, and interface requirements.
• Investigate and resolve data discrepancies across systems to improve accuracy, consistency, and reliability.
• Monitor data quality results, hierarchy integrity, and matching outcomes; escalate patterns and recommend improvements when appropriate.
• Support production data processes, including validation activities, issue triage, and post-production follow-up.
• Partner with business, analytics, and technology teams to support trusted data for reporting and operational decision-making.
• Use SQL and other analytical tools to analyze data, validate outputs, and support issue resolution.
• Contribute to process improvements and automation efforts that reduce manual rework and improve data reliability.

• Experience working in multi-source data environments with attention to data accuracy and consistency.
• Knowledge of data quality, data governance, hierarchy management, and account or customer matching concepts.
• Ability to investigate root causes, assess downstream impacts, and support corrective actions.
• Experience supporting production data processes with a focus on validation, issue resolution, and operational stability.
• Working knowledge of SQL (Snowflake preferred but SQL Server, Oracle, and Teradata are also relevant). Experience with 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 organizational skills across business and technical teams.
• Experience contributing to automation or data quality improvement initiatives is a plus.

Job Contribution: Recognized as an experienced professional with strong working knowledge in the field, this role independently handles moderately complex data issues, supports key data quality and operational initiatives, and contributes to improvements in enterprise data reliability and performance. The position works within established priorities, collaborates across teams, and may provide guidance to less experienced staff., * Bachelor’s degree preferred in Computer Science, Mathematics, Information Systems, or a related field.

• Typically requires 3-5 years of relevant experience in data analysis, data quality, data management, or related disciplines.
• Certifications may be required in some areas.

Our Senior Data Analysis jobs earn between $106,100.00 - $178,200.00 USD Annual. 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: critical 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