Healthcare Lead Data QA Analyst

$90,000 - $100,000/Yr

Unclassified - Remote, OR

Full-time - Mid Level

Remote, OR

About the position

The Lead Data Analyst at Personify Health plays a crucial role in ensuring the quality and integrity of data within the data engineering team. This position involves mentoring junior QA analysts, developing QA methodologies, and collaborating with various teams to enhance data processing pipelines. The Lead Data Analyst will also be responsible for troubleshooting data quality issues and implementing preventive measures, all while fostering a culture of continuous improvement and clear communication across departments.

Responsibilities

• Perform quality and testing activities within the data engineering team.
• Provide mentorship, guidance, onboarding, and training of QA Analysts.
• Develop, maintain, and implement QA testing plans, methodologies, toolsets, and mindsets.
• Translate requirements from internal business partners and client goals into testing and quality objectives.
• Report and triage defects and incidents.
• Participate in RCA reporting and share lessons learned and best practices within the QA and engineering teams.
• Conduct ad-hoc and automated QA tasks.
• Contribute to planning for data processing pipeline enhancements.
• Monitor, maintain, and improve errors in data pipelines.
• Educate non-data teams on accurate translation of client requirements into data transformations.
• Create and maintain documentation of QA processes, tools, and environments.

Requirements

• 3+ years of experience handling QA for medical claims related data.
• 6+ years of hands-on data QA experience.
• 3-5 years experience with SQL.
• SW certification or degree in IT related field.
• Experience writing, understanding, and maintaining testing automation or reporting in multiple software languages.
• Hands-on QA experience with healthcare software, data, and data transformations, particularly in claims processing across multiple systems.
• Strong practical understanding of multiple data transport methods and data parsing.
• Demonstrated ability to interact with 3rd parties or vendors related to data processing pipelines.
• Proficient in the use of Excel and other analytical tools.
• Detail-oriented with the ability to examine data and code for quality and accuracy.
• Able to lead and mentor junior QA analysts or engineers.
• Self-starter with initiative to address inefficiencies or opportunities.
• Git experience preferred or similar source control methodologies.

Nice-to-haves

• Experience with legacy systems in claims processing.
• Familiarity with various analytical tools beyond Excel.

Benefits

• Base compensation ranging from $90,000 to $100,000.
• Eligible for 10% target bonus/variable compensation.
• Health insurance coverage.
• Dental insurance coverage.
• Vision insurance coverage.
• Mental health benefits.