Quality Assurance Analyst
5 days ago
Job description:
Job Title: QA Analyst – Power BI & P&C Insurance
Location: Onsite in Rayadurgam, Hyderabad
Employment Type: Full-time
Experience Level: Years
About the Role:
We are seeking an experienced
QA Analyst
with strong expertise in
Power BI testing
,
data validation
, and
Property & Casualty (P&C) Insurance domain
. The ideal candidate should have deep knowledge of
insurance data models, claims, policy, underwriting workflows
, and experience validating complex
reports, dashboards, ETL pipelines, and SQL datasets
.
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.
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