Data Integrity Analyst II
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Sep 13, 2026.
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
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