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. PREFERRED QUALIFICATIONS: Doctoral degree in Epidemiology or a closely related field. Proficiency in statistical programming (R or Python) and experience working with large, complex administrative or clinical
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or cross-functional teams through consulting clubs, capstones, internships, or co-ops. Strong analytical skills: Excel, Python or R (preferred), and data visualization (Tableau/Power BI). Process mapping
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, SQL Server, MySQL, PostgreSQL) Python or similar scripting language proficiency Data Engineering & Architecture: Experience designing and implementing large-scale data warehouses and ETL/ELT pipelines
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analytical skills: SQL (required), SAS, Python, or R for statistical analysis and data manipulation. Data visualization: Tableau, Power BI, or similar tools to create dashboards and interactive reports
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the ability to articulate business needs and translate them into actionable technical requirements. Experience using scripts or tooling (e.g., Python, SQL, ETL tools) to manipulate and combine datasets