Nspired Digital · 3 days ago
Quality Assurance (QA) Data Engineer – BI & Analytics (Contract)
Nspired Digital is seeking a highly technical QA Data Engineer contractor to support modern BI and analytics initiatives. The role involves validating data pipelines, transformations, and dashboards while working closely with BI Engineers, Data Engineers, and Product Managers.
Responsibilities
Design and maintain comprehensive test plans, scenarios, and regression suites for analytics solutions
Translate requirements and acceptance criteria into clear, testable cases
Define test data needs and success criteria for BI deliverables
Execute manual testing across ETL pipelines, data models, and dashboards
Validate data accuracy and logic using complex SQL queries
Perform end-to-end testing of new features, enhancements, and fixes
Conduct smoke testing and validate incremental data loads
Log high-quality defects with clear reproduction steps and impact analysis
Partner with BI and Data Engineers to troubleshoot and validate fixes
Ensure test coverage aligns with business and product expectations
Promote best practices for QA in analytics development
Contribute QA input to sprint planning and acceptance criteria
Recommend improvements to testing processes and frameworks
Qualification
Required
Advanced SQL (joins, CTEs, window functions, aggregations, performance debugging)
Experience testing data pipelines, transformations, and BI layers
Hands-on validation of dashboards (Looker, Power BI, Tableau, or similar)
Strong understanding of data warehousing concepts (facts/dimensions, SCDs, star schemas)
Proven experience creating test plans, test cases, and regression suites
Familiarity with Jira and QA tools (TestRail, Zephyr, or equivalent)
Experience working in Agile/Scrum teams
Strong written and verbal communication
Detail-oriented with a data-first mindset
Able to work independently and manage multiple test cycles
Preferred
Experience with modern data stacks (Looker, dbt, BigQuery, Snowflake)
Exposure to Git-based workflows and CI/CD
Familiarity with data quality tooling (dbt tests, Great Expectations, Soda)
Enterprise BI or analytics platform experience