Stamford Health
Job Description
The primary responsibility of an Epic Cogito Developer is to create, modify, and enhance analytics content tailored to both end users and third parties. This includes writing and optimizing SQL queries, refining and updating reports, and collaborating closely with subject‑matter experts to ensure the accuracy and relevance of the content. The individual in this role will be instrumental in transforming complex data into actionable insights, supporting decision‑making, and driving better healthcare outcomes. Strong communication skills and technical proficiency are essential for success in this position.
Supports, coordinates, and works closely with other Stamford health staff members who are responsible for the continuous support of the Epic EHR system.
Works collaboratively with the Stamford Analytics team to ensure both operational and analytical reviews are thoroughly completed on related Epic reporting content.
This position would be hybrid and would require on‑site work.
Responsibilities
Configure and test Epic‑released and Foundation System content for all applications, including:
Reporting Workbench
SlicerDicer
Radar
Cogito SQL
Create content to display Epic data from Chronicles, Clarity, and Caboodle
Write SQL and configure Radar settings for custom SQL metrics
Modify existing reports, as necessary
Distribute analytics content to data consumers
Review peer reports for validity
Work with subject‑matter experts to understand the needs of data consumers
Maintain the Analytics Catalog and associated metadata records
Test analytics build in a specified testing environment and perform volume testing in live environments
Review upgrade documentation related to Cogito features and determine how to implement the changes
Build and maintain:
Cubes
Extracts
SlicerDicer custom filters
Third‑party BI tools
Epic data in Caboodle
Qualifications
A degree in engineering, physics, computer science, mathematics, information systems, or statistics
Strong communication skills
Critical thinking and an analytical mindset
User‑focused design and data visualization skills
Proficiency with SQL and relational database concepts
Proficiency and demonstrated experience with analytics tools
Familiarity with Epic applications and database structure, through Epic Cogito training
Ability to gain an in‑depth understanding of the data model through data model classes geared toward content areas
Ability to understand data structures that could benefit the entire data environment
For financial reporting: Prior experience working with an AR system is desirable, but not required
For clinical reporting: Prior experience working with an EMR system is desirable, but not required
Seniority level
Entry level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Hospitals and Health Care
#J-18808-Ljbffr
Supports, coordinates, and works closely with other Stamford health staff members who are responsible for the continuous support of the Epic EHR system.
Works collaboratively with the Stamford Analytics team to ensure both operational and analytical reviews are thoroughly completed on related Epic reporting content.
This position would be hybrid and would require on‑site work.
Responsibilities
Configure and test Epic‑released and Foundation System content for all applications, including:
Reporting Workbench
SlicerDicer
Radar
Cogito SQL
Create content to display Epic data from Chronicles, Clarity, and Caboodle
Write SQL and configure Radar settings for custom SQL metrics
Modify existing reports, as necessary
Distribute analytics content to data consumers
Review peer reports for validity
Work with subject‑matter experts to understand the needs of data consumers
Maintain the Analytics Catalog and associated metadata records
Test analytics build in a specified testing environment and perform volume testing in live environments
Review upgrade documentation related to Cogito features and determine how to implement the changes
Build and maintain:
Cubes
Extracts
SlicerDicer custom filters
Third‑party BI tools
Epic data in Caboodle
Qualifications
A degree in engineering, physics, computer science, mathematics, information systems, or statistics
Strong communication skills
Critical thinking and an analytical mindset
User‑focused design and data visualization skills
Proficiency with SQL and relational database concepts
Proficiency and demonstrated experience with analytics tools
Familiarity with Epic applications and database structure, through Epic Cogito training
Ability to gain an in‑depth understanding of the data model through data model classes geared toward content areas
Ability to understand data structures that could benefit the entire data environment
For financial reporting: Prior experience working with an AR system is desirable, but not required
For clinical reporting: Prior experience working with an EMR system is desirable, but not required
Seniority level
Entry level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Hospitals and Health Care
#J-18808-Ljbffr