Remote QA Data Analyst: Insurance Data Quality & Automation

Murkez Technologies; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Murkez Technologies is seeking a QA Data Analyst to drive data quality initiatives within our insurance data ecosystem. The role is remote, supporting underwriting, claims processing, risk analysis, and reporting.

You will collaborate with data engineers, actuaries, underwriters, and business analysts to ensure data integrity, implement automated checks, and document test plans in line with regulatory standards such as NAIC and HIPAA.

Qualifications

• 4+ years in data QA, analytics, or engineering—ideally in the insurance or financial services industry.
• Advanced SQL skills with large-scale datasets in insurance data environments (policy, claims, rating).
• Hands-on with data quality frameworks, test automation tools, and scripting languages (Python).
• Understanding of insurance operations, data workflows, and compliance requirements.

Responsibilities

• Quality Assurance: Ensuring the quality and reliability of data analytics products through testing strategies.
• Data Analysis: Validating data integrity, accuracy, and insights from analytics processes.
• Collaboration: Working with developers, business teams, and stakeholders to improve product quality.
• Requirements and Documentation: Detailing tasks and ensuring information is in documentation.
• Automation: Implementing automation strategies for data processes and addressing SQL timeouts.
• Develop and execute data validation and quality assurance plans for insurance data pipelines, including policy, claims, billing, and customer data.
• Perform data quality audits, identify anomalies, and lead root-cause analysis to ensure data consistency.
• Design and implement automated data quality checks for real-time and batch processing.
• Validate data feeds and transformations related to regulatory reporting, actuarial models, and risk management frameworks.
• Collaborate to define data quality metrics, business rules, and SLA thresholds for critical datasets.
• Document test plans, QA findings, and remediation actions in line with compliance and audit standards (NAIC, HIPAA).
• Provide QA oversight on data projects involving underwriting systems, policy administration platforms, and claims processing workflows.
• Mentor junior QA analysts and advocate for best practices in data governance and quality control.

Skills

SQL

Python

Data QA

Data Analysis

Documentation

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Actuarial Science, or related field

Job description

Murkez Technologies is seeking a QA Data Analyst to drive data quality initiatives within our insurance data ecosystem. The role is remote, supporting underwriting, claims processing, risk analysis, and reporting.

You will collaborate with data engineers, actuaries, underwriters, and business analysts to ensure data integrity, implement automated checks, and document test plans in line with regulatory standards such as NAIC and HIPAA.