QA Analyst
2 days ago
Role:
QA Analyst – Power BI & Data Solutions
Location:
Hyderabad
Experience:
3-7+ Years (depending on seniority)
Key Responsibilities
- Test Strategy & Planning:
Define and implement comprehensive QA strategies and test plans for data pipelines, ETL processes, and Power BI solutions. - Data Validation:
Validate data integrity, accuracy, and completeness by writing and executing complex SQL queries against large datasets in source systems and data warehouses. - Report & Dashboard Testing:
Perform functional, regression, and performance testing for Power BI reports and dashboards, ensuring data accuracy, correct DAX calculations, and functional parity with business requirements. - ETL & Data Pipeline Testing:
Test data transformations and extraction, transformation, and loading (ETL) processes to ensure data quality and compliance across all layers. - Collaboration:
Work closely with BI developers, data engineers, business analysts, and stakeholders to understand requirements, clarify testing scope, and track defects using tools like JIRA. - Documentation:
Develop, document, and maintain comprehensive test cases, test scripts, and test artifacts. - Automation (Good to have):
Familiarity with test automation tools (e.g., Selenium) and scripting to streamline regression testing is a plus. - Compliance & Governance:
Ensure all solutions comply with data governance standards and regulatory requirements.
Required Skills & Qualifications
- Technical Expertise:
- Strong proficiency in
SQL
is mandatory for data validation. - Hands-on experience testing
Power BI
reports, including data visualization, Power Query, and DAX calculations. - Solid understanding of data warehousing concepts, ETL processes, and relational databases.
- Familiarity with cloud platforms (e.g., AWS, Azure) is beneficial.
- Analytical Skills:
Excellent analytical, problem-solving, and root cause analysis (RCA) skills. - Process Knowledge:
Experience working in Agile/Scrum environments. - Soft Skills:
Strong communication skills and the ability to work effectively in a cross-functional, global team environment.
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