Business Intelligence

CirrusMD; Ohio; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health coverage

401(k)

PTO & holidays

Tuition reimbursement

Career development

Casual environment

Job summary

Quantum Health seeks a Data Integrity Analyst II to safeguard data accuracy and reliability across life cycle stages, ensuring compliance with healthcare privacy standards. You will collaborate with stakeholders to elicit requirements and prototype data solutions, grounding AI-driven insights in verifiable data.

The role blends data management, analytics, and AI model work, with opportunities to design dashboards, develop KPIs, and implement data-quality improvements across our internal and

Qualifications

• Education: Bachelor’s degree or combination of education and relevant experience; advanced degree in healthcare, analytics, statistics, finance or related field preferred.
• 3+ years of advanced health care data analytics & statistical modeling experience.
• 5+ years in employer benefits or healthcare analytics field.
• Ability to understand and manipulate data into usable, actionable information with high accuracy.
• Ability to design, train, and deploy machine learning models and large language models (LLMs) into production.
• Expert with SQL or similar relational databases.
• Experience with advanced analytics tools (SAS, R, Python) is strongly preferred.
• Strong written and oral communication skills.
• Commitment to protecting patient and company data and to ethics and policies.

Responsibilities

• Engage with internal stakeholders and project managers to elicit and document functional and technical requirements.
• Provide recommendations where requirements aren’t clearly defined.
• Develop data gathering methods and prepare data including SQL Server and Snowflake.
• Design reports, dashboards, and visualizations to enforce data quality rules.
• Audit and validate data; resolve discrepancies to maintain high-quality data standards.
• Extract insights from data to detect patterns and trends.
• Establish KPIs to measure data completeness, validity and timeliness.
• Investigate and resolve data quality issues; clean up inaccurate data.
• Fine-tune AI/ML/LLMs, build RAG systems, prompt engineering and data prep.
• Develop AI assistants, chatbots, and automate data quality tasks.
• Perform unit testing and coordinate UAT for data products.
• Partner with DevOps to deploy data integrity solutions; create docs and training materials.

Skills

SQL

Data analytics

Python

SAS

R

Machine learning

Communication skills

Education

Bachelor’s degree or equivalent

Healthcare analytics degree preferred

Tools

SAS

R

Python

Job description

Who we are

Founded in 1999 and headquartered in Central Ohio, we’re a privately-owned, independent healthcare navigation organization. We believe that no one should have to navigate the cost and complexity of healthcare alone, and we’re on a mission to make healthcare simpler and more effective for our millions of members. Our big-hearted, tech-savvy team fights to ensure that our members get the care they need, when they need it, at the most affordable cost - that’s why we call ourselves Healthcare Warriors.

We’re committed to building diverse and inclusive teams – more than 2,000 of us and counting – so if you’re excited about this position, we encourage you to apply – even if your experience doesn’t match every requirement.

About the role

The Data Integrity Analyst II supports internal and external strategic clients by ensuring data remains accurate, consistent, and reliable throughout its life cycle while maintaining strict adherence to healthcare privacy and compliance standards. The analyst develops viable, real-world solutions in a complex landscape, providing actionable insights into trends and patterns. By utilizing well-rounded data management experience, the position implements systems that retrieve and verify information from trusted sources to ground AI-driven insights in fact. The role engages in requirements elicitation, design, and iterative prototyping, utilizing various visualization and database platforms to deliver secure, dependable data solutions.
Location: This position is located at our Dublin, OH campus with hybrid flexibility or may work remotely anywhere in the United States of America.

What you’ll do (Essential Responsibilities)

Requirements Gathering and Communication

• Engage and partner with internal stakeholders and project managers to elicit and document functional and technical requirements
• Provide recommendations where requirements aren’t clearly defined/known

Design & Development

• Utilize various approaches and technologies to gather and prepare data including query development (SQL Server, Snowflake)
• Perform Data analysis and design reports, dashboards and visualizations that will enforce data quality rules and initiatives
• Conduct audits, validate data, and resolve discrepancies to maintain high-quality data standards
• Extract insights from the vast amount of collected data through statistical and analytical techniques that detect patterns and trends
• Establishing KPIs to measure the completeness, validity and timeliness of data submitted by outside sources
• Investigate and resolve data quality issues, such as cleaning up inaccurate data
• Fine-tune AI/ML/LLM models, building RAG systems, prompt engineering, data preparation, and implementing safety measures (hallucination management).
• Develop AI assistants, chatbots, and automate tasks related to Data Quality efforts.

Testing

• Perform rigorous unit testing and coordinate UAT where applicable to help ensure quality data products are delivered

Deployment and Support

• Partner with development operations to deploy data integrity solutions that will maintain the highest quality data used by our external clients
• Develop end user and/or technical documentation/training materials/team cross-training
• All other duties as assigned.

What you’ll bring (Qualifications)

• Education: Bachelor’s degree or combination of education and relevant experience (advanced degree in healthcare, analytics, statistics, finance or related field preferred)
• Experience: 3+ years of advanced health care data analytics & statistical modeling experience
• 5+ years in employer benefits or healthcare analytics field
• Ability to understand and manipulate data into usable, actionable information with high degree of accuracy and attention to detail
• Ability to design, train, and deploy machine learning models and large language models (LLMs) into production, combining software engineering with AI expertise
• Expert with SQL or similar relational databases
• Experience with advanced analytics tools (e.g., SAS, R, Python) is strongly preferred
• Strong written and oral communication skills
• Protect and take care of our company and member’s data every day by committing to work within our company ethics and policies
• A high degree of personal accountability and trustworthiness, a commitment to working within Quantum Health’s policies, values and ethics, and to protecting the sensitive data entrusted to us

What’s in it for you

• Compensation: Competitive base and incentive compensation
• Coverage: Health, vision and dental featuring our best-in-class healthcare navigation services, along with life insurance, legal and identity protection, adoption assistance, EAP, Teladoc services and more.
• Retirement: 401(k) plan with up to 4% employer match and full vesting on day one.
• Balance: Paid Time Off (PTO), 7 paid holidays, parental leave, volunteer days, paid sabbaticals, and more.
• Development: Tuition reimbursement up to $5,250 annually, certification/continuing education reimbursement, discounted higher education partnerships, paid trainings and leadership development.
• Culture: Recognition as a Best Place to Work for 15+ years, dedication to diversity, philanthropy and sustainability, and people-first values that drive every decision.
• Environment: A modern workplace with a casual dress code, open floor plans, full-service dining, free snacks and drinks, complimentary 24/7 fitness center with group classes, outdoor walking paths, game room, notary and dry-cleaning services and more!

What you should know

• Internal Associates: Already a Healthcare Warrior? Apply internally through Lever
• Process: Application > Recruiter Video Interview > Online Assessment(s) > Interview(s) > Offer > Background Check.
• Diversity, Equity and Inclusion: Quantum Health welcomes everyone. We value our diverse team and suppliers, we’re committed to empowering our ERGs, and we’re proud to be an equal opportunity employer.
• Tobacco-Free Campus: To further enable the health and wellbeing of our associates and community, Quantum Health maintains a tobacco-free environment. The use of all types of tobacco products is prohibited in all company facilities and on all company grounds.
• Compensation Ranges: Compensation details published by job boards are estimates and not verified by Quantum Health. Details surrounding compensation will be disclosed throughout the interview process. Compensation offered is based on the candidate’s unique combination of experience and qualifications related to the position.
• Sponsorship: Applicants must be legally authorized to work in the United States on a permanent and ongoing future basis without requiring sponsorship.
• Agencies: Quantum Health does not accept unsolicited resumes or outreach from third-parties. Absent a signed MSA and request/approval from Talent Acquisition to submit candidates for a specific requisition, we will not approve payment to any third party.

Should you require reasonable accommodation(s) to participate in the application/interview/selection process, or in order to complete the essential duties of the position upon acceptance of a job offer, click here to submit a recruitment accommodation request.

Recruiting Scams

Unfortunately, scams targeting job seekers are common. To protect our candidates, we want to remind you that authorized representatives of Quantum Health will only contact you from an email address ending in @quantum-health.com. Quantum Health will never ask for personally identifiable information such as Date of Birth (DOB), Social Security Number (SSN), banking/direct/tax details, etc. via email or any other non-secure system, nor will we instruct you to make any purchases related to your employment. If you believe you’ve encountered a recruiting scam, report it to the Federal Trade Commission and your state’s Attorney General.

California Employee and Job Applicant Notice of Collection of Personal Information

If you are a California resident, Quantum Health may collect personal information in connection with your application for employment and, if hired, during the course of your employment. The categories of personal information collected and the purposes for which that information is used are described in our California Employee and Job Applicant Notice of Collection of Personal Information.

Please review the notice here: California Employee and Job Applicant Notice

Use of Technology Notice

Quantum Health and its authorized service providers may contact applicants by email, phone, and text message about their application and related employment opportunities. Text messages may cover application status, interview invitations, and reminders, and applicants will have the option to opt out at any time. Message frequency varies. Message and data rates may apply.

Quantum Health uses AI-assisted recruiting technology to support communication, scheduling, and candidate evaluation, including tools that may review application materials and analyze recorded interviews. These tools assist our recruiting team; final employment decisions are made by human reviewers. Applicants who will be interviewed using these tools receive advance notice describing the technology and what it evaluates, are asked for permission before the interview is recorded or analyzed, and may request deletion of their recording.

Quantum Health uses AI-assisted recruiting technology to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.