Business Intelligence Analyst/Consultant; Epic Certified
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2025-12-28
Listing for:
Page Mechanical Group, Inc.
Full Time
position Listed on 2025-12-28
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Warehousing
Job Description & How to Apply Below
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.
- 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.
- 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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