Data Engineering and Analytics Intern

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July 16

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Better Health Partnership

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Healthcare Insurance • Social Impact • Non-profit

Better Health Partnership is a regional health improvement collaborative based in Northeast Ohio, led by community stakeholders from various sectors. The organization focuses on advancing system-level change to achieve exceptional health value and eliminate health disparities. By fostering collaboration across sectors, Better Health Partnership addresses the social determinants of health, improves health outcomes for individuals with chronic conditions, and closes equity gaps. It connects patients with necessary healthcare and social services, such as housing and food resources, through initiatives like the Better Health Pathways HUB. The organization emphasizes data-informed improvements, shared learning, and equitable population and community health.

2 - 10 employees

Founded 2007

⚕️ Healthcare Insurance

🌍 Social Impact

🤝 Non-profit

📋 Description

• Own & Execute Business Analyses • Take ownership of ad-hoc analyses that help answer strategic and operational questions • Translate stakeholder questions into clear queries and metrics using SQL • Design and maintain dashboards and reports that drive business decisions • Collaborate with cross-functional teams to understand and define data needs • Build & Maintain Data Infrastructure • Contribute to dbt models, documentation, and data pipelines • Help ensure data quality and consistency across our warehouse and reporting tools • Support small-scale data engineering projects to improve internal workflows • Improve Visibility & Data Access • Create and maintain clear, well-organized documentation for metrics, dashboards, and data sources • Work with business users to make data easier to understand and act on • Experiment with AI tools to enhance analytics or improve workflows • Learn & Grow With Coaching • Receive regular coaching and mentorship from your manager, who is willing to go the extra mile helping new interns learn and grow • Get exposure to a high-growth startup environment with opportunities to contribute meaningfully from day one

🎯 Requirements

• Proficiency in SQL and data modeling, gained through coursework, personal projects, or work experience • Excitement for solving real-world business problems with data • Curiosity about AI/ML and how it can improve healthcare operations • Clear communication and an eagerness to collaborate with stakeholders • Experience or familiarity with dbt, BI tools (e.g. Redash, Sigma, Looker), or other modern data stack technologies is a plus • Prior experience in a startup or healthcare setting is a plus

🏖️ Benefits

• Open dialogue with radical transparency • Creativity to run with ideas • Collaboration across teams