Transform raw data into meaningful insights for a large healthcare provider. Collaborate with leadership to design, maintain, and secure the organization's data estate. Develop and manage a comprehensive suite of automated reports and dashboards.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Must Haves:
- 4+ total years of Data Analytics & Data Engineering experience
- 3+ years of Analytics experience within the healthcare industry
- Expertise in Microsoft Fabric environment, including SQL
- Expertise in DAX (Data Analysis Expressions) and Power BI for data visualization
- Power BI
- Epic experience
- Bachelor's Degree
- Strong communication skills and ability to multitask in a pro forma/ad hoc based environment
Plusses:
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- SQL certifications
- DAX certifications
- Power BI certifications
- Python coding experience
- Databricks experience
- Previous experience working in Decision Support roles
Day to Day:
Insight Global is seeking a fully remote Data Engineer III for a large healthcare provider located in Charleston, South Carolina. This position will perform data analytics and reporting functions for the physicians practice operations space across the health system. You will collaborate with leadership to transform raw data into meaningful insights and will be responsible for understanding where data lives, the native capabilities of source systems (such as Epic), and how to leverage external tools to build scalable solutions. This role requires high adaptability, as you will pivot between foundational data engineering, ad-hoc financial analysis, and sophisticated modeling projects depending on business needs. This a full time and fully remote opportunity.
Key Responsibilities:
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Data Architecture & Management: Oversee the design, maintenance, and security of the organization's data estate, including SQL databases and Microsoft Fabric capacities. Ensure data models are scalable, efficient, and accurate.
Statistical Analysis & Predictive Modeling: Go beyond historical reporting by designing predictive models and statistical forecasts. You will identify correlations in clinical and financial data to anticipate operational bottlenecks, validate strategic initiatives, and support complex proformas.
Advanced Analytics & Reporting: Develop and manage a comprehensive suite of automated reports and dashboards. Utilize advanced DAX and visualization best practices to render complex datasets into clear, actionable metrics for diverse stakeholders.
Operational & Financial Strategy: Partner with the finance and operations teams to validate data integrity and identify opportunities for performance improvement.
Strategic Growth Support: Collaborate with business development and leadership to analyze data regarding new opportunities, partnerships, and network expansion.
Process Innovation: Identify manual or inefficient processes within the reporting infrastructure and implement automated solutions using tools like Azure Data Factory and Power Automate.
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