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Sr. Healthcare Data Quality Analyst

IMO Health
11 days ago
Full-time
On-site
Chicago, Illinois, United States
Healthcare Tech & Health Informatics

IMO Health is expanding its Data Quality & Insights (DQI) function and hiring Sr. Healthcare Data Quality Analysts to support our growing Sales and Customer Success organizations, while strengthening the connection between our customers’ real world data needs and our product and analytics teams. 
 

This role is ideal for analytically minded professionals who enjoy translating complex healthcare data into clear, client ready insights and are excited to help scale reporting, analytics, and emerging agentic capabilities across the organization. 
 

As a Sr. Healthcare Data Quality Analyst, you will serve as a trusted, client facing analytics partner to Sales, Customer Success Managers (CSMs), and internal product stakeholders—directly enabling revenue growth, customer adoption, and the faster delivery of high quality analytics. 

HOW YOU'LL WORK:

  • This role reports into IMO Health’s analytics leadership and works closely with Sales, Customer Success, Product, and Data teams. 

  • You’ll help shape a net‑new analytics support function, contributing not only through execution but also through process design and continuous improvement. 

  • As the team grows, your scope and impact will expand across additional products and customer segments. 

WHAT YOU'LL DO:

Sales & Data Quality Analytics Support 

  • Respond to repeatable data and analytics requests across IMO Health products using standardized, scalable processes 

  • Partner with Sales leaders and Customer Engineers to shape compelling, insight-driven narratives for clients and prospects, going beyond data presentation to tell a clear story about business impact 

  • Translate field-facing analytics needs into clear feedback and build requests for Product and Analytics teams 

Customer Success Reporting & Enablement 

  • Deliver standardized adoption, usage, and ROI reporting for Customer Success teams, reducing reliance on ad hoc or highly technical workflows 

  • Build, maintain, and update Power BI dashboards that support customer insights and success metrics 

  • Help reduce bottlenecks by taking on dashboard updates and reporting work that would otherwise require advanced engineering or analytics resources 

  • Contribute to training materials and documentation to enable self service analytics for CSMs and Sales partners 

Analytics Automation & Agent Support 

  • Explore and support the use of agentic and automation tools to accelerate analytics delivery and presentation readiness 

  • Partner with analytics leadership to identify opportunities where validated data outputs can be transformed into polished, branded client deliverables 

  • Document opportunities for process improvement, automation, and efficiency as the function scales 

WHAT YOU'LL NEED:

  • 5–8 years of experience in analytics, reporting, or data roles, within healthcare or healthcare technology environments  

  • Deep domain expertise in at least one of the following areas (required):  

  • Revenue Cycle: Experience with healthcare revenue cycle workflows (e.g., coding, claims, billing, reimbursement), with the ability to interpret and clearly explain revenue-impacting data quality insights directly to clients and customer-facing teams 

  • Clinical / Informatics: Experience with clinical data, informatics, population health, or clinical decision support (CDS), with the ability to translate clinically driven data quality insights into clear, client-ready explanations and recommendations 

  • Hands-on experience building and maintaining dashboards in Power BI, Tableau, Looker, or similar tools  

  • Working knowledge of SQL and/or Python for data analysis, validation, or exploratory analytics  

  • Strong ability to translate complex data into clear insights for nontechnical, client-facing audiences  

  • Experience supporting sales enablement, customer reporting, or ROI/adoption analytics  

  • Strong attention to detail, organization, and documentation  

  • Experience designing or supporting agentic or semiautomated analytics workflows (e.g., prompt-based analysis, report generation, insight packaging, or presentation automation) 

PREFERRED QUALIFICATIONS:

  • Experience improving or operating within intake and request management processes (e.g., Salesforce or similar systems)  

  • Clinical background or experience working closely with clinical stakeholders (e.g., clinicians, clinical informaticists, healthcare operations teams)  

  • Domain experience supporting health system reporting, including areas such as:  

    • Revenue cycle operations 

    • Claims and denials analysis 

    • Clinical coding workflows 

    • Medical necessity review 

  • Bonus: direct experience working with Epic health system data, including Clarity and/or Caboodle databases 

WHY IMO HEALTH:

  • Mission-driven work improving healthcare data quality and usability 

  • High-impact role with direct exposure to Sales, Product, and Executive stakeholders 

  • Opportunity to help build and scale new analytics capabilities from the ground up 

  • Collaborative, values-driven culture that rewards curiosity, clarity, and smart execution 

$100,000 - $130,000 a year
Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
 
IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.