Quality Assurance Analyst

Job Title: QA Analyst – Power BI & P&C Insurance

Location: Onsite in Rayadurgam, Hyderabad

Employment Type: Full-time

Experience Level: 5 - 10 Years

About the Role:

Key Responsibilities:

• Perform

  end-to-end QA

  for Power BI reports, dashboards, paginated reports, and data models. Validate

  data accuracy, DAX measures, KPIs, drilldowns, slicers, and row-level security (RLS)

  implementations.
• Conduct

  data reconciliation and source-to-target validation

  across SQL databases, data warehouses, and ETL pipelines.
• Analyze business requirements and translate them into detailed

  test plans, test cases, and test scenarios

  .
• Perform

  functional, regression, system integration, and UAT testing

  for BI and analytical solutions.
• Validate insurance-related datasets including

  policy, claims, billing, underwriting, loss ratios, reserves, premium calculations, and actuarial data

  . Collaborate with business users, data engineers, and BI developers to identify defects and ensure timely resolution. Work with

  Azure Data Factory, Data Lakes, or other cloud data platforms

  for data validation (good to have). Create automated validation scripts using

  SQL or Python

  to speed up regression cycles.
• Participate in

  Agile/Scrum ceremonies

  and maintain test documentation in JIRA/Confluence.

Required Qualifications:

• 5–10 years

  of experience as a QA Analyst in Data/BI/Analytics projects. Strong experience testing

  Power BI dashboards, datasets, and DAX calculations

  . Solid expertise in

  SQL queries

  for data validation, profiling, and reconciliation.
• Deep understanding of

  P&C Insurance domain

  (Policy, Claims, Underwriting, FNOL, Premiums, Loss & Reserve Calculations, ISO, Rating Models). Experience with

  ETL/ELT testing

  , data pipelines, and data quality frameworks.
• Strong analytical skills with the ability to identify data inconsistencies and reporting issues.
• Experience with

  manual and automated testing

  for data workflows. Hands-on experience with

  Agile methodologies

  and tools like JIRA. Excellent communication skills and ability to work with technical + business teams.

Preferred Qualifications:

• Experience with

  Python for data validation

  or automation. Knowledge of

  Azure Data Factory, Databricks, Snowflake, AWS Redshift, or other cloud data platforms

  . Experience with

  API testing

  using Postman or similar tools.