Senior QA Analyst

10 - 15 years

11 - 17 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Senior QA Analyst

Key Responsibilities

  • QA Strategy & Implementation

    : Define and implement comprehensive QA strategies for BI reporting, master data management (MDM) verification, and ERP migration data flows.
  • Validation & Testing

    : Conduct a wide range of testingincluding

    functional, regression, and performance testing

    on integrated datasets from sources like Salesforce, SQL, and Oracle ERP. You will validate data pipelines, transformations, and reporting layers across

    Microsoft Fabric, Azure Data Factory (ADF)

    , and legacy systems like

    SSIS

    and

    SQL Server

    .
  • Automation & Defect Management

    : Automate tests and create validation scripts for continuous quality checks within CI/CD pipelines. Lead defect analysis, debugging, and resolution tracking.
  • BI & Reporting Accuracy

    : Ensure the accuracy of reports by validating

    Power BI dashboards

    and their components, including

    DAX logic, RLS, filters, and visuals

    .
  • Collaboration & Governance

    : Work closely with business analysts and engineers to align QA coverage with business priorities. Monitor data governance adherence by validating data lineage and catalog accuracy.
  • Risk & Documentation

    : Independently manage workloads, proactively communicate risks, and propose remediation strategies. Maintain comprehensive documentation of test coverage, issue tracking, and release quality.

Required Qualifications

  • Experience

    :

    10+ years of total QA experience

    , with a specialization in BI and data integration. You should have extensive hands-on experience validating data across

    Azure Data Services (ADF and Fabric)

    .
  • Technical Skills

    :
  • Proven experience in testing and validating

    Power BI dashboards

    , including semantic modeling and DAX logic.
  • Skilled in writing test scripts and automation for data pipelines using languages like

    Python and SQL

    , and tools like

    Azure DevOps

    .
  • Familiarity with MDM structures, ERP migration workflows, and related reconciliation frameworks.
  • Experience with legacy system modernization (

    SSIS, SQL Server

    ) and cloud-native transitions.
  • Communication

    : Strong analytical, documentation, and troubleshooting skills. You must also have outstanding stakeholder engagement skills, with the ability to translate business risks into effective QA coverage.
  • Certifications

    : Experience with

    Microsoft Purview

    and

    Profisee

    is a plus.
  • Integrity

    : High integrity and accountability are required, along with the ability to pass rigorous background checks.

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