Business Intelligence Analyst/ Consultant (Epic Certified)

Job Title
Business Intelligence Analyst/ Consultant (Epic Certified)
Job ID
27768215
Location
Houston, TX, 77046 
Other Location
Description

About the Role

We are seeking a highly skilled Business Intelligence Analyst/Consultant with expertise in Epic systems to join our team. This individual will play a key role in designing, developing, and optimizing data solutions that support clinical, operational, and financial decision-making. The ideal candidate will have strong analytical skills, deep knowledge of Epic modules, and experience translating business needs into actionable insights.

Key Responsibilities

·        Collaborate with stakeholders to gather requirements and deliver BI solutions aligned with organizational goals.

·        Design and develop dashboards, reports, and data extracts using Epic tools (e.g., Clarity, Caboodle) and other BI platforms.

·        Perform data analysis to identify trends, opportunities, and areas for improvement.

·        Ensure data integrity, accuracy, and compliance with regulatory standards.

·        Provide subject matter expertise on Epic data structures and workflows.

·        Support optimization initiatives and participate in Epic upgrade or enhancement projects.

·        Mentor junior analysts and contribute to best practices for BI development.

Required Qualifications

·        Extensive Epic experience in one or more modules (e.g., Clarity Data Model, Caboodle, or relevant clinical/financial modules).

·        Minimum 3 years of hands-on Epic experience in a healthcare setting.

·        Strong proficiency in SQL and data modeling.

·        Experience with BI tools such as Power BI, Tableau, or Qlik.

·        Excellent problem-solving, communication, and stakeholder management skills.

·        Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Qualifications

·        Epic Certification in one or more modules (e.g., Clarity Data Model, Caboodle, or relevant clinical/financial modules).

·        Experience with healthcare analytics and regulatory reporting.

·        Familiarity with ETL processes and data warehousing concepts.

·        Knowledge of programming languages (e.g., Python, R) for advanced analytics.

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