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# Senior EPIC Data Analyst - Remote

- **Company:** CAPITAL STAFFING SOLUTIONS
- **Location:** Philadelphia, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,600.0 - $197,600.0
- **Contract:** Temporary to permanent
- **Skills:** Clinical Data Repository, Information Systems, Computer Programming, Data Integration, Data Presentation, Data Systems, Data Visualization, Relational Databases, R (Programming Language), Python (Programming Language), Power BI, SAS (Software), SQL Databases, Systems Integration, Tableau (Software), Snowflake, Qlikview
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a6d0c5749fbd8f59

## About the Role

* Looking for the following skills, in descending order of importance (i.e. #1 is most important): 1. Epic Revenue Cycle data model
 * Others 2-4 can have any or all 2. SQL 3. Snowflake 4. PowerBI
 * Epic revenue-cycle domains can be found in the following modules Clarity |

Resolute / billing / claims / AR-related data

 * 4-5+ years analytics / business intelligence experience
 * Bachelor's degree
 * Preferred Requirements
 * 8+ years analytics / BI experience
 * Master's degreeOther Notes Section
 * Manager's stated skill priority: 1) Epic data model ? 2) SQL ? 3) Snowflake ? 4) Power BI
 * Senior Data Analyst supporting Quality Improvement
 * Work focuses on analytics, dashboards/reporting, data models, and operational / clinical data projects
 * Best target: Senior healthcare data analyst with strong Revenue Cycle Epic data model + SQL experience, ideally with Snowflake and Power BI
 * Epic revenue-cycle domains can be found in the following modules Clarity | Resolute / billing / claims / AR-related data, At least five (5) years of experience in analytics / business intelligence
-Experience in at least one computer programming language or analytical programming language (R, Python, SAS, etc)
-Experience with SQL
-Knowledge of relational database structures
-Experience in project management

Preferred Skills & Experience:
-At least eight (8) years of experience in analytics / business intelligence.
OR
-Experience with data visualization tools preferred (Qlik, Tableau, Power BI, etc).
OR
-Experience with data integration tools: DBT, Informatica, MS Integration Services etc.
OR
-Experience working as a data analyst within a healthcare setting.
OR
-Experience with clinical, hospital and/or financial applications and/or systems.

## Description

Guides clinical teams and business stakeholders on large scope projects: gathering requirements, developing metrics, retrieving data, and ensuring validity of results.
-Utilizes advanced analytical and/or statistical ability to evaluate data, and make judgments and recommendations regarding process and outcome improvement work, financial outcomes, resource utilization, and clinical practice patterns.
-Proposes and creates innovative and appropriate data solutions (dashboards, reports, business intelligence tools, etc) for the measurement of processes and outcomes.
-Adept at learning new information systems and how the data generated contributes to the data development lifecycle.
-Advises on new data models, testing frameworks, and documentation practices.
-Demonstrates excellent data storytelling skills through outstanding presentation and communication to share findings in an understandable and actionable manner tailored to audience and customer's needs.
-Responsible for the coordination and completion of assigned projects, including project definition, assignment of task responsibilities, setting deadlines, and all other aspects of project management.
-Independently identifies and works to remediate project obstacles.
-Identifies, defines, and implements new data-driven strategies and processes for the organization.
-Communicates work plans, progress, findings and interpretations effectively with a continual focus on educating and developing analytic capability of business customers and the organization overall.
-Trains and mentors team members.
-Develops a trusted advisor reputation through expertise in data.