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Tech Stack
Tools & technologiesOraclePythonSQL
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data cleansingdata validationdata governancedata qualitySQLPythonautomationAIdata mappingdata transformations
Soft Skills
collaborationcommunicationprioritizationproblem-solvinganalytical thinkingroot cause analysisstakeholder engagementadaptabilityattention to detailcritical thinking
