Data Quality Analyst

Overview

Establish, advance, and mature data quality and governance capabilities in a greenfield, low‑maturity data environment. Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early‑stage data architecture. Drive long‑term improvement of data standards, definitions, lineage, and quality processes.

• Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
• Develop automated data quality rules and validation logic using T‑SQL, SQL Server, stored procedures, and indexing strategies.
• Build and maintain SSIS packages for validation, cleansing, transformation, and error‑detection workflows.
• Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
• Conduct root‑cause analysis and implement preventive and long‑term remediation solutions.
• Optimize SQL queries, tune stored procedures, and improve data processing performance.
• Document audit findings, validation processes, data flows, standards, and quality reports.
• Build dashboards and reports for data quality KPIs using Power BI/Tableau.

• Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
• Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
• Ensure proper and consistent data usage across departments and systems.
• Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
• Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
• Provide training on data entry, data handling, stewardship practices, and data literacy.
• Collaborate with cross‑functional teams to identify recurring data issues and recommend preventive solutions.

• Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
• Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
• Mature data quality and governance processes from ad‑hoc to standardized, automated, and measurable.
• Drive adoption of data quality and governance practices across business and technical teams.
• Support long‑term evolution of enterprise data strategy and governance maturity.

• Advanced T‑SQL, SQL Server development, debugging, and performance tuning.
• SSIS development, deployment, and troubleshooting.
• Data profiling, validation rule design, quality scoring, and measurement techniques.
• ETL/ELT pipeline design, debugging, and optimization.
• Data modeling (conceptual, logical, physical).
• Metadata management and lineage documentation.
• Reporting and dashboarding with Power BI, Tableau, or similar tools.
• Strong documentation and communication skills.

• Knowledge of DAMA‑DMBOK, DCAM, MDM concepts, and governance frameworks.
• Experience in low‑maturity/greenfield data environments.
• Familiarity with AI/ML data readiness and feature‑store aligned data structuring.
• Cloud data engineering exposure (Azure, Databricks, GCP).

• This is a long‑term contract; no remote work will be allowed during the contract duration.

Intermediate Level

Contract position based out of Montgomery, AL.

Pay range: $35.00 – $60.00 per hour.

Benefits may include:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital coverage
• 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Paid time off/leave (PTO, vacation or sick leave)

This position is anticipated to close on Jun 9, 2026.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.