Senior Epic BI Developer
SuperlanetAbout the role
This is a remote position.
Superlanet is seeking an Epic Advanced Business Intelligence (BI) Developer to join our client’s Analytics Center of Excellence. This individual will play a critical role in supporting BI development efforts from Epic and other enterprise data sources. The ideal candidate has a strong analytical background with deep expertise in Epic Clarity/Caboodle Data Models and SQL programming, as well as proven experience developing impactful reports and analytics to support operational and strategic business needs. This is a direct hire, fully remote opportunity, but you must reside in Florida.
Key Responsibilities
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Conduct comprehensive business process analyses, needs assessments, and cost/benefit analyses to align IT solutions with business objectives.
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Design, prepare, and execute functional, system, and program specifications using structured methodologies.
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Lead and coordinate BI development projects, ensuring adherence to timelines, budgets, and quality standards.
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Develop complex SQL queries and ETL logic to support Epic Clarity and Caboodle data extractions.
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Collaborate with stakeholders to deliver data visualizations and reports that drive decision-making across the enterprise.
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Apply advanced knowledge of Epic data models, analytics tools, and business systems to deliver high-impact insights.
Required Experience & Skills
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Epic Clarity/Caboodle Data Model Certification and hands-on development experience.
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Strong SQL development skills, including query optimization and performance tuning.
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Experience with data visualization tools such as Qlik Sense, Tableau, or Power BI.
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Demonstrated ability to lead projects independently and collaborate with cross-functional teams.
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Excellent analytical, communication, and problem-solving skills.
Preferred Qualifications
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Epic Caboodle Developer Certification and experience with data pipelines.
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Experience with Epic Cogito tools (Reporting Workbench, Radar, SlicerDicer).
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Hands-on experience in Qlik Sense dashboard design and development.
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Master’s degree in Data Science, Analytics, or a related field.
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