Data Quality Analyst

About the role

The Data Quality Analyst ensures the accuracy, completeness, and reliability of enterprise data assets across the data platform. Working closely with Data Engineering, Architecture, and Data Governance teams, the analyst validates pipelines, implements quality controls, and resolves data issues to build trust in data.

Key responsibilities

• Design and execute data validation strategies across ingestion, transformation, and presentation layers, using tools such as DBT, Great Expectations, or DQOps.
• Develop, maintain, and run automated data quality checks to ensure completeness, accuracy, consistency, and timeliness of data.
• Identify, triage, and document data quality issues, perform root‑cause analysis with engineers, and track defects through resolution.
• Apply and enforce enterprise data quality standards, contribute to scorecards, and support governance frameworks and regulatory compliance.
• Maintain detailed test plans, validation results, and audit‑ready documentation linking requirements to data transformations.

Required profile

• 5–8 years of experience in data quality, data analysis, or quality assurance within data environments.
• Strong SQL skills for validating complex datasets and transformations.
• Experience validating data in ETL/ELT pipelines and data warehouse environments.
• Proven ability to analyze data issues, perform root‑cause analysis, and work in Agile delivery settings.
• Effective communication and collaboration with technical and business stakeholders.

Required skills

• SQL
• DBT
• Great Expectations
• DQOps
• ETL / ELT pipelines
• Data warehouse concepts
• Jira
• Confluence