Data Quality Lead: DW, ETL & Power BI Testing

Sompo

Conshohocken (Montgomery County)

In loco

USD 140.000 - 155.000

Tempo pieno

14 giorni+

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Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Vantaggi offerti da questo lavoro

Medical plans
Dental benefits
Vision benefits
401(k) Retirement Savings Plan
Paid time off

Descrizione del lavoro

Sompo is seeking a Data Quality Assurance Lead to head QA for enterprise data warehouse validation, Power BI reporting, and data strategy. The role will manage both onshore and offshore QA resources, ensuring QA standards, processes, and governance are followed.

You will define test plans, data validation, and reconciliation strategies, while mentoring QA staff and collaborating with developers, data architects, and stakeholders to resolve data quality issues.

Competenze

  • Strong experience in data warehouse testing, data reconciliation, SQL-based validation, report testing, test planning, defect management, and stakeholder communication.
  • Experience leading QA teams (onshore and offshore) and mentoring QA staff.
  • Familiarity with QA standards, documentation, and governance practices.

Mansioni

  • Lead end-to-end QA activities for enterprise data warehouse and Power BI reporting initiatives.
  • Develop and enforce QA policies, testing standards, and quality gates.
  • Define QA strategy, test plans, data requirements, and traceability matrices.

Conoscenze

Data warehouse testing
SQL validation
Power BI reporting
Defect management
Stakeholder communication
Team leadership
Mentoring

Strumenti

Azure DevOps
Fresh Service
Power BI

Descrizione del lavoro

Sompo is seeking a Data Quality Assurance Lead to head QA for enterprise data warehouse validation, Power BI reporting, and data strategy. The role will manage both onshore and offshore QA resources, ensuring QA standards, processes, and governance are followed.

You will define test plans, data validation, and reconciliation strategies, while mentoring QA staff and collaborating with developers, data architects, and stakeholders to resolve data quality issues.

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