DQI Analyst

• 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. 

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 deliver client- and prospect-ready analytics, dashboards, and presentation materials. 

• 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. 

• 2–4 years of experience in analytics, reporting, or data roles, preferably in healthcare or healthcare technology. 

• Hands-on experience building and maintaining dashboards in Power BI. 

• Strong ability to translate data into clear insights for non-technical audiences. 

• Experience working cross-functionally with Sales, Customer Success, Product, or Analytics teams. 

• Strong attention to detail, organization, and documentation. 

• Hands-on experience working with large language models (LLMs), including tools such as Claude, to interpret, summarize, or translate analytical outputs into clear narratives. 

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

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

• Familiarity with healthcare data, clinical terminology, or healthcare reporting workflows. 

• Exposure to automation, agentic tools, or analytics enablement workflows. 

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

• Hands-on experience working with large language models (LLMs), including tools such as Claude, to interpret, summarize, or translate analytical outputs into clear narratives. 

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

• Clinical background or experience working closely with clinical stakeholders (e.g., clinicians, clinical informaticists, healthcare operations teams), with the ability to translate analytical findings into clinically meaningful insights. 

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

• Domain experience supporting health system reporting, including areas such as revenue cycle operations, claims and denials analysis, clinical coding workflows, or medical necessity review. 

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