Role Epic BI Developer
Duration : 6 months C2H (must share Salary conversion when subbing)
Billing Rate : $75 / Hr - Flex
Location : Remote is OK - CNE is located in Providence, RI
Looking for USC / GC Holders
Job Description :
This is a backfill for someone that is moving into a new role. Brandon said someone with a minimum of 2-3 years of experience will work, however I think we should do our best to find someone with 4-6 years of experience
75% Clarity report writing, 25% Reporting Workbench.
Job Description : Responsibilities
Responsibilities
- Configuring and testing Epic-released and Foundation System content for all applications, including :
- Reporting Workbench
- SlicerDicer data models
- Radar dashboards
- Cogito SQL
- Creating content to display Epic data from Chronicles, Clarity, and Caboodle
- Writing SQL and configuring Radar settings for custom SQL metrics
- Modifying existing reports, as necessary
- Distributing analytics content to data consumers
- Reviewing peer reports for validity
- Working with subject matter experts to understand the needs of data consumers
- Maintaining the Analytics Catalog and associated metadata records
- Testing analytics build in a specified testing environment and volume testing in live environments
- Reviewing upgrade documentation related to Clarity and Caboodle features and determining how to implement the changes
- BIDs might also be responsible for building and maintaining :
- Cubes
- Extracts
- SlicerDicer custom filters
- Third-party BI tools
- Custom Epic data in Caboodle
Key competencies
- A degree in engineering, physics, computer sciences, math, information systems, or statistics
- Strong communication skills
- Critical thinking and an analytical mind
- 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 training that occurs early in the implementation
- 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.
- Ability to work independently
- Ability to lead root cause analysis
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