QA Data Analyst

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

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Murkez Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Murkez Technologies is a comprehensive business solutions provider that specializes in operations optimization, customer engagement, financial services, and IT solutions. They offer customizable services aimed at enhancing business performance and adapting to market dynamics. Partnering with clients across various industries, Murkez Technologies focuses on leveraging technology and tailored strategies to drive sustainable growth and success in a constantly evolving business landscape.

📋 Description

• Ensure the quality and reliability of data analytics products through comprehensive testing strategies • Conduct in-depth analysis to validate data integrity, accuracy, and analytics insights • Collaborate with developers, business teams, data engineers, actuaries, underwriters, and business analysts to improve product quality and data integrity • 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 • Design and implement automated data quality checks for real-time and batch processing • Validate data feeds and transformations for regulatory reporting, actuarial models, and risk management frameworks • Define data quality metrics, business rules, and SLA thresholds for critical insurance datasets • Document test plans, QA findings, and remediation actions in alignment with compliance and audit standards such as NAIC and HIPAA • Provide QA oversight for underwriting systems, policy administration platforms, and claims processing workflows • Implement and refine automation strategies for data processes, including resolving SQL timeouts • Mentor junior QA analysts and advocate for data governance and quality control best practices

🎯 Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Actuarial Science, or a related field • Master’s degree is a plus • 4+ years of experience in data QA, analytics, or engineering, ideally in insurance or financial services • Advanced SQL skills with large-scale, complex insurance datasets • Hands-on experience with data quality frameworks, test automation tools, and scripting languages such as Python • Understanding of insurance operations, data workflows, and compliance requirements • Ability to communicate quality issues to internal, external, and customer stakeholders • Ability to investigate, troubleshoot, and document data issues • Strong analytical, documentation, and communication skills • Experience with insurance core systems preferred • Working knowledge of insurance data privacy laws and regulatory frameworks, including HIPAA and NAIC MCAS • Exposure to data profiling and monitoring tools preferred • Background in risk analysis, actuarial data, or predictive modeling QA is a strong plus • Experience working in an Agile/Scrum environment

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