QA Analyst

2 days ago


Hyderabad, Telangana, India Wall Street Consulting Services LLC Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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