Senior QA Data Engineer

2 weeks ago

Islamabad, Islamabad, Pakistan KEMAT CONSULTING LIMITED Full time 1,200,000 - 3,600,000 per year

**Job Title:

Senior Data Quality & Reporting Analyst**

Location:
Islamabad (Blue Area) — On-site
About Kemat Consulting Limited:

Kemat Consulting Limited is a specialized consulting firm focused on delivering high-quality financial data solutions. We are seeking a
Senior Data Quality & Reporting Analyst
to lead our
data-focused QA efforts
, ensuring the accuracy, consistency, and completeness of financial datasets and reporting systems.

This is a hands-on QA role centered around
data validation
,
testing of business intelligence (BI) tools
, and
issue lifecycle management
, where you'll work closely with cross-functional teams to deliver clean, actionable data.
Key Responsibilities:

  • Design, execute, and maintain comprehensive test cases for
    data validation
    , with a focus on
    positive
    and
    negative testing
    approaches.
  • Conduct in-depth QA for financial data, ensuring successful data migrations, transformations, and report outputs.
  • Test dashboards and reports (Power BI, SSRS) to validate business logic, data accuracy, formatting, and performance.
  • Utilize
    testing frameworks
    and methodologies to standardize data quality assurance processes.
  • Identify, document, and report defects using tools such as
    Azure DevOps
    , ensuring clear reproduction steps and impact assessment.
  • Manage the full
    bug lifecycle
    — from detection and logging to retesting and closure — and escalate critical defects when needed.
  • Collaborate with data engineers and analysts during development, system testing, and user acceptance testing (UAT) phases.
  • Maintain all test artifacts (e.g., test cases, screenshots, logs) in shared repositories like
    DevOps
    and
    OneDrive
    .
  • Provide clear and concise QA reports and dashboards to stakeholders, highlighting trends, risks, and test coverage.
  • Continuously recommend enhancements to QA processes, contributing to the evolution of QA best practices and frameworks.

Requirements & Qualifications:

  • Bachelor's degree in
    Computer Science
    ,
    Information Systems
    ,
    Finance
    , or a related field.
  • 5+ years
    of hands-on experience in
    data QA
    , validation, or data-centric testing in enterprise or financial environments.
  • Strong proficiency in:
  • SQL
    for data validation and test case development
  • BI tools
    such as
    Power BI
    ,
    **SSRSETL testing and data pipeline QA
  • Bug tracking and reporting tools
    (e.g.,
    Azure DevOps
    )
  • Familiarity with structured
    testing frameworks
    , methodologies (e.g., black box testing), and defect management processes.
  • Strong analytical thinking and keen attention to detail with the ability to spot anomalies and data discrepancies quickly.
  • Excellent communication skills — able to articulate issues clearly to both technical and non-technical stakeholders.
  • Ability to prioritize, escalate critical issues effectively, and work under tight deadlines in a collaborative environment.**

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