> Markdown version of [/jobs/ext/815636-senior-data-analysis](https://www.wearedevelopers.com/jobs/ext/815636-senior-data-analysis). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analysis - **Company:** AT&T Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $118,800.0 - $178,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Information Systems, Data Governance, Python (Programming Language), Microsoft SQL Server, Operational Databases, Oracle (Applications), Standard Sql, SQL Databases, Transmission Control Protocol (TCP), Teradata SQL, Snowflake, Information Technology, Data Management - **Published:** June 10, 2026 - **Apply:** https://dejobs.org/x/x/F7AF852CA23C441DA2BD3290F0C3A385/job/ ## About the Role * 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., Education/Experience: 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. ## Description * 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. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)