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Emr Product Analyst Jobs (NOW HIRING)

This means taking in billions of clinical and financial data points, analyzing them, and then ... production and quality levels through tracked metrics. Participates in training sessions with ...

... EMR/EHR systems, CRM platforms, APIs, interoperability standards, and healthcare data environments. * Experience applying data, analytics, customer research, and market insights to product strategy ...

$130K - $241K/yr

... EMR/EHR systems, CRM platforms, APIs, interoperability standards, and healthcare data environments. * Experience applying data, analytics, customer research, and market insights to product strategy ...

... EMR/EHR systems, CRM platforms, APIs, interoperability standards, and healthcare data environments. * Experience applying data, analytics, customer research, and market insights to product strategy ...

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Emr Product Analyst information

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$16

$46

$78

How much do emr product analyst jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for emr product analyst in the United States is $46.66, according to ZipRecruiter salary data. Most workers in this role earn between $33.17 and $57.69 per hour, depending on experience, location, and employer.

What does an EMR Product Analyst do?

An EMR Product Analyst is responsible for analyzing, designing, and improving electronic medical record (EMR) systems to meet the needs of healthcare providers and organizations. They work closely with stakeholders to gather requirements, identify workflow improvements, and ensure the software meets regulatory and user needs. Their role often includes testing new features, troubleshooting issues, and collaborating with developers and clinical staff to enhance the overall functionality and usability of EMR products.

What are the key skills and qualifications needed to thrive as an EMR Product Analyst?

To thrive as an EMR Product Analyst, you need a solid understanding of healthcare workflows, data analysis, and requirements gathering, typically supported by a degree in healthcare, IT, or a related field. Familiarity with electronic medical record (EMR) systems such as Epic or Cerner, experience with SQL, and sometimes certifications like CPHIMS are highly valued. Strong problem-solving, communication, and stakeholder management skills help you bridge the gap between clinical staff and technical teams. These abilities ensure that EMR products effectively support healthcare delivery and meet both regulatory and user needs.

How does an EMR Product Analyst typically collaborate with clinical staff during the development and implementation of new features?

An EMR Product Analyst works closely with clinical staff, such as physicians, nurses, and administrative personnel, to gather feedback and understand workflow needs. Regular meetings, shadowing sessions, and user testing are common methods used to ensure that any new feature or update aligns with real-world clinical practices. This collaborative approach helps the analyst to translate clinical requirements into technical specifications, prioritize enhancements, and ensure successful adoption of new functionalities. Building strong relationships with end-users is crucial for resolving challenges quickly and maintaining system usability.

What is the difference between Emr Product Analyst vs Data Analyst?

AspectEmr Product AnalystData Analyst
Required CredentialsBachelor's in Healthcare, IT, or related; knowledge of EMR systemsBachelor's in Data Science, Statistics, or related
Work EnvironmentHealthcare settings, hospitals, clinicsVarious industries, corporate offices, healthcare
Employer & Industry UsageHospitals, healthcare providers, EMR vendorsMultiple sectors including healthcare, finance, marketing
Common Search & ComparisonYesYes

The Emr Product Analyst focuses on managing and optimizing electronic medical record systems within healthcare organizations, requiring healthcare-specific knowledge. In contrast, Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve data handling, the Emr Product Analyst specializes in healthcare IT systems, making their skills and work environment distinct.

What are popular job titles related to Emr Product Analyst jobs?

For Emr Product Analyst jobs, the most frequently searched job titles are:

Infographic showing various Emr Product Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $97,052 per year, or $46.7 per hour.

Senior Data Analyst - AI & Dermatology Claims Analytics

Maitland, FL • On-site

$80K - $101K/yr

Full-time

Re-posted 12 days ago


Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS

Comprehensive Position Description

Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.
Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.
Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.
Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics
Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health
AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance
Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction
Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.