Duration: 15 months to start

Job Description

• The Epic Cogito Business Intelligence Developer (BID) will play a key role in the client's Epic transformation project as part of the Enterprise Analytics team.
• This role will focus on designing, developing, and maintaining reports, dashboards, and other analytics solutions using Epic Cogito tools to support data-driven decision-making across the organization.
• The ideal candidate possesses a strong analytical background, extensive experience with Epic Clarity/Caboodle data models, and a proven track record of delivering high-quality BI solutions within healthcare settings.

• Gather and analyze reporting requirements from various stakeholders across the company.
• Design, develop, and test reports, dashboards, and visualizations using Epic Cogito tools (Reporting Workbench, Radar, SlicerDicer, Metrics).
• Write complex SQL queries to extract data from Epic Clarity and Caboodle data models.
• Collaborate with Epic application teams and other analytics teams to ensure data integrity and consistency.
• Troubleshoot and resolve issues related to Epic reports and reporting tools.
• Develop and maintain documentation for reports and dashboards.
• Stay current with the latest Epic Cogito features and functionalities.
• Mentor and train other team members on Epic Cogito reporting.
• Contribute to the overall success of the client's Epic transformation project.

• Bachelor's degree in computer science, Information Systems, or a related field is preferred.
• Epic Cogito certification(s) or Proficiency (Cogito Tools Administration, Cogito Fundamentals, Clarity, Caboodle, etc.) is required for the role.
• Extensive experience with Epic Clarity and Caboodle data models, including certification.
• Experience in working with clinical data within the Epic environment.
• 3+ years of experience in healthcare IT, analytics, or data management.
• 5+ years of experience developing reports and dashboards using BI tools (e.g., Tableau, Cogito, Power BI).
• Strong SQL development skills.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and manage multiple projects simultaneously.

• Experience with data warehousing and data modeling concepts.
• Experience with data visualization best practices.
• Knowledge of healthcare industry data standards and regulations.
• Experience working in a large, complex healthcare organization.