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Epic Data Model Jobs in Wisconsin (NOW HIRING)

Senior Analytics Developer

Cornell, WI · On-site

$85K - $139K/yr

Experience with Epic Clarity data models or other clinical/financial systems; familiarity with HL7 FHIR, ICD 10/CPT/LOINC a plus. * Demonstrated PHI/PII handling and HIPAA awareness * Practical data ...

Lead Analytics Developer

Cornell, WI · On-site

$131K - $163K/yr

Experience with Epic Clarity data models or other clinical/financial systems; familiarity with HL7 FHIR , ICD10/CPT/LOINC a plus. * Cloud data experience with Azure/AWS or similar (Git/Azure DevOps); ...

New

WI · On-site

$120 - $160/hr

... EPIC, and Omega; identify discrepancies and drive timely, practical resolution. * Lead the ... Provide the Operations and Actuarial teams with clean, reconciled data sets to support CAT modeling ...

$128K/yr

Gathering and interpreting data from multiple systems and sources * Financial modeling of impact of ... Epic Tapestry or health plan claims experience Industry knowledge of ICD-10, CPT, HCPC coding ...

This role requires an understanding of healthcare workflows, data standards, and EHR technologies ... Ability to act with an inclusion mindset and model these behaviors for the organization. * Ability ...

Integration Manager

Madison, WI · On-site

$61K - $122K/yr

This role requires an understanding of healthcare workflows, data standards, and EHR technologies ... Ability to act with an inclusion mindset and model these behaviors for the organization. * Ability ...

Leverages data analytics, financial modeling, and key performance indicators to drive strategic and ... EPIC experience preferred. * Knowledge of best practices in physical security of people and ...

Showing results 21-40

Epic Data Model information

What is an Epic data model?

An Epic Data Model refers to the structured framework used to organize and store data within the Epic electronic health record (EHR) system. It defines how patient information, clinical workflows, billing details, and other healthcare data are represented and related in Epic’s databases. Understanding the Epic Data Model is essential for reporting, integration, and customization tasks within the Epic EHR environment. Healthcare IT professionals often work with this model to extract meaningful insights and ensure accurate data management across healthcare organizations.

What are common challenges faced by professionals working with the Epic data model, and how can they be addressed?

Professionals working with the Epic Data Model often encounter challenges such as navigating the complex schema, understanding proprietary naming conventions, and ensuring data integrity across interconnected modules. Addressing these challenges typically involves thorough training, leveraging Epic's documentation and user community, and collaborating closely with clinical and IT teams to clarify requirements and workflows. Proactive communication and continuous learning are key to effectively managing these complexities and delivering accurate, actionable insights from the system.

What are the key skills and qualifications needed to thrive as an Epic data modeler, and why are they important?

To thrive as an Epic Data Modeler, you need a strong background in database design, data analysis, and healthcare informatics, typically supported by a degree in computer science, information systems, or a related field. Familiarity with Epic Systems software, certification in Epic Data Model (such as Clarity or Caboodle), and proficiency in SQL are commonly required. Strong problem-solving, analytical thinking, and effective communication skills are essential for translating clinical requirements into accurate data structures. These skills ensure the efficient management and extraction of healthcare data, enabling informed decision-making and regulatory compliance in clinical environments.

What is the difference between Epic Data Model vs Epic Data Analyst?

AspectEpic Data ModelEpic Data Analyst
Primary RoleDesigns and structures data within Epic systemsAnalyzes data to generate reports and insights from Epic systems
Required SkillsData modeling, database design, Epic system knowledgeData analysis, reporting, Epic system proficiency
Work EnvironmentIT and data management teams in healthcare settingsHealthcare analytics teams, clinical or administrative settings
CertificationsEpic certifications, data modeling credentialsEpic certifications, data analysis certifications

The Epic Data Model focuses on structuring and designing data within Epic systems, while the Epic Data Analyst interprets and reports on that data to support healthcare decision-making. Both roles are essential in healthcare IT, but they serve different functions in data management and analysis.

What cities in Wisconsin are hiring for Epic Data Model jobs?

Cities in Wisconsin with the most Epic Data Model job openings:

Senior Analytics Developer

NewYork-Presbyterian

Cornell, WI • On-site

$85K - $139K/yr

Full-time

Re-posted 11 days ago


NewYork-Presbyterian rating

8.5

Company rating: 8.5 out of 10

Based on 202 frontline employees who took The Breakroom Quiz

14th of 891 rated healthcare providers


Job description

LocationNew York, New YorkShift:Day (United States of America)Description:Senior Analytics Developer

About the role

At NewYorkPresbyterian (NYP), analytics developers power datadriven decisions across a leading academic health system. As a Senior Analytics Developer on the Data Shared Services (DSS) team, you will partner with clinical, business, and quality leaders to deliver governed data products and decision support that improve access, quality, equity, and operational performance across our hospitals and affiliated medical schools.

Design analytics solutions and deliver insights that inform business and clinical decision-making. Partner directly with stakeholders to translate complex business needs into governed analytics and mentors junior team members.

What you'll do

  • Design and deliver reusable Power BI datasets and dashboards; optimize performance and drive adoption across stakeholder groups.
  • Guide DSS engineers in designing and optimizing scalable Snowflake data models to support complex analytics use cases
  • Maintain clear metric definitions and drive consistent metadata and lineage practices in Alation. Ensure consistency and reliability of metrics across datasets and dashboards
  • Partner with stakeholders to understand business processes and translates ambiguous needs into solutions and actionable analytics; thinking creatively and planning strategically
  • Lead root cause data quality analysis and remediation design; feed defects to stewards
  • Collaborate with our engineering and data science teams; improve reliability.
  • Drive medium to large scoped initiatives, mentor analytics developers, and contribute to standards for modeling, visualization, and SDLC; collaborate with other analytics developers to eliminate redundancy.
  • Own delivery of features and datasets; coordinate crossteam dependencies with light oversight. Improve team standards and promote adoption tactics (certified datasets, usage telemetry).
  • Perform other special projects and duties as assigned.

Required qualifications

  • Bachelor's degree in a quantitative field (e.g., Biomedical Informatics, Epidemiology, Computer Science, Data Science, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics) or equivalent experience.
  • 3+ years of analytics/BI experience preferably in healthcare delivery, payer, or life sciences.
  • SQLand dimensional modeling (or equivalent).
  • Power BIexperience: DAX, M, semantic models, RLS, performance tuning (or equivalent).
  • Epic Module Certification (Cogito) upon hire or within 6 months.

Preferred qualifications

  • Experience with Epic Clarity data models or other clinical/financial systems; familiarity with HL7 FHIR, ICD 10/CPT/LOINC a plus.
  • Demonstrated PHI/PII handling and HIPAA awareness
  • Practical data governance & metadata management with Alation or equivalent; strong documentation habits.
  • Cloud data experience with Azure/AWS or similar (Git/Azure DevOps); hands on with Snowflake.
  • Scripting for analysis/automation (Python or R);statistics/experimentdesign familiarity.
  • Experience using AI-assisted tools and modern development environments to generate, refine, and optimize analytical logic (e.g., SQL, DAX) and to streamline analytics workflows
  • Demonstrated ability to integrate AI tools into day-to-day work to accelerate analysis, generate insights, and enhance communication with stakeholders

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

NYP will not reimburse for travel expenses.

__________________

  • 2026 Best Companies in Healthcare, Biotech & Pharma - Glassdoor

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  • 2026 America's Best Large Employers - Forbes

  • 2026 America's Best-In-State Employers - Forbes

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  • 2026 America's Greatest Workplaces for Culture, Belonging & Community - Newsweek

  • 2026 Best Places to Work in IT - Computerworld

  • 2025 Great Place to Work Certified

  • 2025 Best Employers for Women - Forbes

  • 2025 Companies that Care - People

  • 2025 America's Greatest Workplaces for Mental Well-Being - Newsweek

NewYork-Presbyterian Hospital is an equal opportunity employer.

Salary Range:

$85,500-$139,000/Annual

It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.


What NewYork-Presbyterian employees say

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