Great decisions start with data people can trust.

As a Data Integrity Analyst II at Quantum Health, you’ll help make sure the data behind our products, insights, and client solutions is accurate, reliable, secure, and ready to use.

You’ll work across healthcare data, analytics, reporting, and emerging AI capabilities to find problems, uncover patterns, improve data quality, and build smarter ways to keep our information dependable. You’ll partner with stakeholders to understand what they need, then turn those needs into practical data solutions.

If you enjoy digging into data, figuring out why something doesn’t look right, and exploring how AI can make analytics smarter and more efficient, this could be a great fit.

This position can be based at our Dublin, Ohio campus with hybrid flexibility or work remotely anywhere in the United States.

• Make data trustworthy. Audit, validate, clean, and monitor healthcare data to identify inconsistencies and maintain high standards for accuracy, completeness, and timeliness.
• Turn questions into solutions. Partner with stakeholders and project teams to understand business and technical requirements, clarify ambiguity, and recommend practical approaches.
• Get hands-on with the data. Use SQL Server, Snowflake, and other technologies to query, prepare, analyze, and validate complex datasets.
• Build visibility. Create reports, dashboards, KPIs, and visualizations that surface data-quality issues, trends, patterns, and opportunities.
• Solve the mystery. Investigate discrepancies and anomalies, trace issues back to their source, and help develop solutions that prevent problems from happening again.
• Put AI to practical use. Help develop AI assistants, automation, RAG-based solutions, prompts, and other capabilities that support data-quality initiatives while grounding outputs in trusted information.
• Test before you trust. Conduct unit testing and coordinate user acceptance testing to help ensure data solutions are reliable before deployment.
• Make improvements stick. Partner with technical teams to implement data-integrity solutions and create documentation, training, and knowledge-sharing materials that help others use them successfully.

You’re naturally curious about data. When something looks off, your first instinct is to dig in and figure out why.

You bring:

• A bachelor’s degree or a combination of education and relevant experience. An advanced degree in healthcare, analytics, statistics, finance, or a related field is a plus.
• 5+ years of experience in employer benefits, healthcare analytics, or a related field, including 3+ years of advanced healthcare data analytics or statistical modeling experience.
• Strong SQL skills and experience working with relational databases and modern cloud data platforms.
• The ability to turn complex datasets into accurate, useful, and actionable information.
• Experience using analytical tools such as Python, R, SAS, Excel, or similar platforms.
• Experience identifying data-quality issues, conducting validation, and improving the integrity of complex data.
• Exposure to machine learning, large language models, RAG, prompt engineering, or AI-assisted automation, with an understanding of the importance of grounding, validation, and hallucination management.
• Strong analytical, problem-solving, communication, and documentation skills.
• A high level of accountability and attention to privacy, security, ethics, and the protection of sensitive healthcare and member data.

• Compensation: Competitive base pay, incentive plans, and employee referral bonuses.
• Coverage: Health, vision, and dental, plus life insurance, legal and identity protection, adoption assistance, EAP resources, TelaDoc services, and more.
• Retirement: 401(k) with up to a 4% employer match and full vesting from day one.
• Balance: PTO, seven paid holidays, parental leave, volunteer days, paid sabbaticals, and more.
• Development: Up to $5,250 annually in tuition reimbursement, continuing education support, paid training, and leadership development.
• Culture: A people-first environment focused on collaboration, innovation, inclusion, community, and making a meaningful difference.

Here’s what you can expect from our hiring process:

Application → Assessment (if needed) → Interviews → Offer → Background Check → Start Your Career!

Current Associates: Already part of the Quantum Health team? Apply internally through Lever.

Diversity, Equity & Inclusion: We welcome everyone and value the different backgrounds, perspectives, and experiences people bring to our organization. We’re committed to empowering our Employee Resource Groups and are proud to be an equal opportunity employer.

Agencies: We do not accept unsolicited resumes or outreach from third parties. A signed MSA and approval from Talent Acquisition to submit candidates for a specific requisition are required for third-party submissions to be eligible for payment.

Sponsorship: Applicants must be legally authorized to work in the United States on a permanent and ongoing basis without requiring sponsorship.

Data & Ethics: We expect every associate to act with accountability and integrity, follow Quantum Health policies and values, and protect the sensitive company and member data entrusted to us.

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