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Essential Job Statements
Participates in the design, development and maintenance of Cogito analytics solutions that transform data into insights through Reporting Workbench reports, Radar dashboards and Slicer Dicer self-service reporting capabilities.
Performs analysis including reviewing multiple data sets and data relationships to support research and business decisions.
Works in concert with application and business teams to understand business requirements and translating those requirements into developing value-add Epic driven solutions.
Develops and enforce implementation of standards and best practices involved in Epic Cogito solutions development and delivery.
Works with Data Engineering team by identifying opportunities to expand data sets and business intelligence tools to include additional data. Assists with data lineage and coding to support this function.
Supports the data through its life cycle utilizing data governance principles that ensure data quality, integrity, stewardship, security, literacy and adoption.
Provides Technical Support and training to end users on BI tools and reports
Mentors junior Epic Cogito Developers
Patient Population: N/A
Employment Qualifications
Required Education: Bachelor’s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline
Preferred Education: Master’s degree in Business, IT, Math, Data Analytics, Engineering or related discipline
Licensing/ Certification
Licensure/Certification Required: Epic Certification(s) and Obtain Epic Cogito Certification (within 6 months of hire, 3 chances for exam)
Licensure/Certification Preferred: Epic Cogito Certification
Minimum Qualifications
Years and Type of Required Experience: 5+ years using EHR Reporting tools. 4+ years of experience with Data Lake, EDW and operational databases required. 2+ years SQL experience.
Other Knowledge, Skills and Abilities Required: Intermediate level knowledge EHR Reporting tools. Strong problem-solving and analytical abilities. Intermediate SQL skills. Understanding data warehousing concepts and practices for managing large datasets. Strong interpersonal skills and ability to work cross-functionally (Required proficiency). Ability to effectively communicate with technical and non-technical personas and make complex ideas understood. Ability to understand the long-term ("big picture") and short-term perspectives of situations. Ability to comprehend quickly the functions and capabilities of new technologies.
Other Knowledge, Skills and Abilities Preferred: I ntermediate level knowledge Epic Cogito tools: Reporting Workbench, Radar Dashboards, Metrics, Slicer Dicer. Working knowledge of data governance practices and data life cycle management preferred. Experience utilizing Agile methodology. Displays intellectual curiosity and integr ity.
Combination of education and experience in lieu of a degree.
Working Conditions: N/A
Physical Requirements
Physical Demands: N/A
Work Position: Sitting
Additional Physical Requirements/ Hazards
Physical Requirements: N/A
Hazards: N/A
Mental/Sensory – Emotional
Mental/Sensory: Strong Recall, Reasoning, Problem Solving, Hearing, Speak Clearly, Write Legibly, Reading, Logical Thinking, Other
Emotional: Fast pace environment, Able to Handle Multiple Priorities, Frequent and Intense Customer Interactions, Able to Adapt to Frequent Change
EEO Employer/Disabled/Protected Veteran/41 CFR 60-1.4.
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