Data & Reporting QA Analyst
About the Opportunity Evolvic is looking for a Data & Reporting QA Analyst to support enterprise data validation and reporting quality initiatives. The successful candidate will help ensure data accuracy across multiple systems while validating reporting outputs and business intelligence deliverables. Key Responsibilit…
About the Opportunity Evolvic is looking for a Data & Reporting QA Analyst to support enterprise data validation and reporting quality initiatives. The successful candidate will help ensure data accuracy across multiple systems while validating reporting outputs and business intelligence deliverables.
Key Responsibilities Validate data integrity across multiple applications and data repositories. Perform data reconciliation and sanity checks. Execute reporting validation and data quality testing. Develop test scenarios and validation procedures for data workflows. Investigate and document data quality issues. Work closely with business stakeholders and technical teams to resolve discrepancies. Support end-to-end testing initiatives involving data movement and transformation.
Required Qualifications Experience in data validation, reporting testing, or data quality assurance. Strong SQL skills. Experience analyzing large datasets and identifying anomalies. Understanding of database concepts and data lifecycle processes. Strong analytical and documentation skills.
Preferred Qualifications Experience with enterprise reporting platforms and business intelligence tools. Exposure to data warehouse or data lake environments. Experience working on digital transformation or system migration programs. Telecommunications or enterprise-scale project experience.
What You'll Bring Strong attention to detail and accuracy. Excellent analytical and troubleshooting abilities. Ability to communicate findings clearly to technical and business stakeholders. Passion for improving data quality and business reporting outcomes.
How to Apply Please submit your resume along with a summary of your relevant experience, key technologies, and notable projects involving automation, data validation, reporting, or quality assurance.
- 1. Share your profile and role fit.
- 2. If aligned, expect a short qualification conversation.
- 3. Strong matches move quickly into client-facing next steps.