Data QA Analyst

A large financial services organization is seeking a Senior QA Analyst to support a growing cyber data and analytics environment. This role is focused on validating data quality, testing ETL workflows, and ensuring the reliability of data pipelines and dashboards used by internal stakeholders.

This is an ideal opportunity for someone who combines strong QA fundamentals with hands-on SQL and data validation expertise. The role will partner closely with technical teams to test data as it moves through multiple layers of a modern enterprise data platform, identify defects, and help improve overall testing rigor.

What You’ll Tackle Develop and execute test plans, test cases, and scripts based on business and technical requirements

Validate data across ETL processes and multiple layers of a modern data architecture

Perform functional, regression, integration, and user acceptance testing

Analyze source and target data sets to identify inconsistencies, outliers, and transformation issues

Document, report, and track defects while partnering with developers on resolution

Support QA efforts tied to enterprise dashboards and reporting outputs

Maintain testing documentation, traceability, and regression coverage

Participate in agile ceremonies and contribute to QA process improvements

What You Bring7+ years of experience in QA, software testing, or data-focused systems analysis

Strong SQL skills including joins, CTEs, reconciliations, and data validation techniques

Experience testing ETL pipelines, warehouse loads, or data integration workflows

Ability to scrub, analyze, and validate large data sets Experience creating and executing structured test plans and regression scenarios

Familiarity with JIRA or similar test / defect management tools

Understanding of SDLC and Agile / Scrum methodologies

Strong written and verbal communication skills

High attention to detail and strong problem-solving ability