Data Integrity Analyst II

Quantum Health•Dublin, OH

1d•Hybrid

About The Position

The Data Integrity Analyst II supports internal and external strategic clients by ensuring data remains accurate, consistent, and reliable throughout its life cycle while adhering to healthcare privacy and compliance standards. The analyst develops practical solutions in a complex environment and provides actionable insights into trends and patterns. The role uses data management experience and systems that retrieve and verify information from trusted sources to ground AI-driven insights in fact. It also involves requirements elicitation, design, iterative prototyping, and the use of visualization and database platforms to deliver secure, dependable data solutions. The position is based at the Dublin, Ohio campus with hybrid flexibility, or may be performed remotely anywhere in the United States.

Requirements

Bachelor’s degree or a combination of education and relevant experience.
At least 3 years of advanced healthcare data analytics and statistical modeling experience.
At least 5 years of experience in employer benefits or healthcare analytics.
Ability to manipulate data into usable, actionable information with a high degree of accuracy and attention to detail.
Ability to design, train, and deploy machine-learning models and large language models into production, combining software engineering with AI expertise.
Expertise with SQL or similar relational databases.
Strong written and oral communication skills.
Commitment to protecting company and member data and following company policies, values, and ethics.
High degree of personal accountability and trustworthiness.

Nice To Haves

An advanced degree in healthcare, analytics, statistics, finance, or a related field.
Experience with advanced analytics tools such as SAS, R, or Python.

Responsibilities

Partner with internal stakeholders and project managers to elicit and document functional and technical requirements.
Recommend approaches when requirements are unclear or not yet defined.
Gather and prepare data using various approaches and technologies, including developing queries in SQL Server and Snowflake.
Analyze data and design reports, dashboards, and visualizations that enforce data-quality rules and initiatives.
Audit and validate data and resolve discrepancies to maintain data-quality standards.
Use statistical and analytical techniques to identify patterns and trends in collected data.
Establish KPIs to measure the completeness, validity, and timeliness of data submitted by outside sources.
Investigate and resolve data-quality issues, including cleaning inaccurate data.
Fine-tune AI, ML, and LLM models; build RAG systems; engineer prompts; prepare data; and implement safety measures for hallucination management.
Develop AI assistants and chatbots and automate tasks related to data-quality efforts.
Perform rigorous unit testing and coordinate user acceptance testing where applicable.
Partner with development operations to deploy data-integrity solutions that maintain the quality of data used by external clients.
Develop end-user and/or technical documentation and training materials, and support team cross-training.
Perform other duties as assigned.

Benefits

Health, vision, and dental coverage, including healthcare navigation services.
Life insurance.
Legal and identity protection.
Adoption assistance.
Employee assistance program (EAP).
Teladoc services.
401(k) plan with up to 4% employer match and full vesting on day one.
Paid time off (PTO).
Seven paid holidays.
Parental leave.
Volunteer days.
Paid sabbaticals.
Tuition reimbursement up to $5,250 annually.
Certification and continuing education reimbursement.
Discounted higher education partnerships.
Paid trainings and leadership development.
Modern workplace with casual dress code, open floor plans, full-service dining, free snacks and drinks, a complimentary 24/7 fitness center with group classes, outdoor walking paths, game room, notary and dry-cleaning services.