Epic Cogito Analytics Specialist (Healthcare Data)

SpringPoint Technologies; Tulsa (OK); On-site; USD 70,000 - 90,000; Part time

Job summary

A dynamic technology firm in Tulsa, Oklahoma, is seeking an experienced Epic Cogito Business Analyst for a short-term contract. In this role, you will design and deploy reporting solutions that enhance data-driven decisions. Key responsibilities include serving as a subject matter expert for analytics, building Epic reporting tools, and collaborating on data visualizations. Required qualifications include 3+ years in healthcare data analytics and a Bachelor's in IT. This position offers an opportunity to impact organizational data strategies.

Qualifications

• 3+ years in healthcare data analytics or IT.
• Strong knowledge of Epic’s reporting suite (Cogito, Clarity, Caboodle).
• Expertise in data quality, profiling, and metadata management.

Responsibilities

• Serve as SME for analytics and reporting.
• Build and maintain Epic reporting tools and enterprise-level dashboards.
• Develop data visualizations and ensure adherence to standards.
• Gather requirements and create datasets for reporting.
• Collaborate on upgrades, maintenance, and training documentation.

Skills

Healthcare data analytics

IT expertise

Epic reporting suite knowledge

Data quality expertise

Excellent communication skills

Time management skills

Education

Bachelor’s in IT or related field

Epic certifications in Cogito, Clarity, Caboodle, and Data Modeling

Job description

A dynamic technology firm in Tulsa, Oklahoma, is seeking an experienced Epic Cogito Business Analyst for a short-term contract. In this role, you will design and deploy reporting solutions that enhance data-driven decisions. Key responsibilities include serving as a subject matter expert for analytics, building Epic reporting tools, and collaborating on data visualizations. Required qualifications include 3+ years in healthcare data analytics and a Bachelor's in IT. This position offers an opportunity to impact organizational data strategies.