Remote QA Data Analyst - Insurance Data Quality Automation

Murkez Technologies; Lahore; Remote; PKR 1,200,000 - 2,400,000; Full time

Job summary

Murkez Technologies offers a remote QA Data Analyst role focused on data quality across underwriting, claims, and regulatory reporting within an insurance data ecosystem. You will collaborate with data engineers, actuaries, underwriters, and business analysts to ensure high data integrity and compliance.

The role emphasizes developing data validation plans, automating checks, and maintaining thorough QA documentation while addressing data issues and improving overall data governance.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Actuarial Science, or a related field.
• 4+ years of experience in data QA, analytics, or engineering—ideally in the insurance or financial services industry.
• Advanced SQL skills with experience on large-scale insurance data environments (policy, claims, rating).
• Hands-on experience with data quality frameworks, test automation tools, and scripting languages (e.g., Python).

Responsibilities

• Quality Assurance: Ensure the quality and reliability of data analytics products through testing.
• Data Analysis: Validate data integrity, accuracy, and insights from analytics processes.
• Collaboration: Work with developers, business teams, and stakeholders to improve testing and product quality.
• Documentation: Communicate complex tasks clearly and maintain QA documentation.
• Automation: Implement and refine automated data quality checks for real-time and batch processing.
• Regulatory: Validate feeds and transformations for regulatory reporting and risk frameworks.

Skills

QA Testing

Data Analysis

SQL

Python

Data Governance

Education

Bachelor’s degree in Data Science/CS/IS

Master’s degree (plus)

Tools

Python

SQL Server

Job description

Murkez Technologies offers a remote QA Data Analyst role focused on data quality across underwriting, claims, and regulatory reporting within an insurance data ecosystem. You will collaborate with data engineers, actuaries, underwriters, and business analysts to ensure high data integrity and compliance.

The role emphasizes developing data validation plans, automating checks, and maintaining thorough QA documentation while addressing data issues and improving overall data governance.