Overview
Skills
Job Details
Key Responsibilities
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Design, develop, and maintain ETL pipelines to extract, transform, and load data from various healthcare and business systems.
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Query, clean, and analyze large datasets using SQL and Python (Pandas, NumPy, etc.).
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Develop and publish Power BI dashboards and reports to visualize key performance indicators (KPIs) and business metrics.
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Work with EHR systems (such as Epic, Cerner, or Allscripts) to extract structured and unstructured healthcare data.
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Collaborate with cross-functional teams—clinical, IT, and operations—to understand business requirements and deliver data-driven solutions.
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Ensure data quality, consistency, and compliance with healthcare data standards (e.g., HIPAA).
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Automate recurring reporting processes to improve efficiency and accuracy.
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Support data governance initiatives and documentation of data sources, transformations, and business logic.
Required Skills & Qualifications
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Bachelor’s or Master’s degree in Information Systems, Data Analytics, Computer Science, or a related field.
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5+ years of professional experience in data analysis, business intelligence, or related roles.
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Advanced SQL skills for querying, joining, and optimizing data from multiple sources.
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Proficiency in Power BI (data modeling, DAX, dashboard development).
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Hands-on Python experience for data wrangling and automation (e.g., Pandas, NumPy, Matplotlib).
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Strong understanding of ETL concepts and tools (SSIS, Informatica, or similar).
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Experience with EHR systems or healthcare datasets (HL7, FHIR, etc.).
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Excellent problem-solving, communication, and data storytelling skills.
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Ability to work in a collaborative, fast-paced environment.