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Application Analyst-Epic Prelude/Cadence (Hybrid) at Temple Health System

Philadelphia, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Epic Prelude, Epic Cadence, Application Support, Feature Addition, Testing, Vendor Releases, System Upgrades, Defect Resolution, Technical Analysis, Functional Analysis, System Requirements Definition, Data Modeling, Stakeholder Education, Change Management, Documentation, Communication

Industry

Hospitals and Health Care

Description

The Application Analyst-Epic Prelude/Cadence is responsible for supporting and enhancing TUHS applications. This includes adding new features, testing applying vendor releases/system upgrades, and addressing system defects. Additionally, will analyze the technical and functional aspects of the application, define system requirements, and develop logical data models. Will also educate cross-functional application teams and TUHS stakeholders on system functionality, adhere to change management procedures, thoroughly document assigned applications, and communicate all application changes to internal department teams. This role requires three days on-site (Tuesday, Wednesday and Thursday) at Temple Health Womens and Families Hospital. Education High School Diploma or Equivalent Required Bachelor's Degree in relevant field Preferred Experience 2 years experience in related role with proficient ability to troubleshoot, research, and solve complex problems Required General Experience and knowledge of basic hardware configurations, database management tools, and query language Required General Experience in Healthcare IT Preferred Licenses

Responsibilities

The Application Analyst is responsible for supporting and enhancing TUHS applications, which involves adding new features, testing upgrades, and resolving system defects. This role also requires analyzing technical and functional aspects, defining system requirements, and developing logical data models.