Data Analyst - Healthcare

Analytic Recruiting Inc.; New York (NY); Híbrido; USD 99.000 - 121.000; Jornada completa

Descripción de la vacante

Analytic Recruiting Inc. is representing an independent New York nonprofit focused on building a more effective healthcare system. We seek a Data Analyst with 2+ years of deep SQL experience to transform messy Medicaid and HRSN data into clean, analysis-ready datasets and support quality and equity initiatives.

Based in New York, NY, the role is hybrid (3 days onsite). You will design pipelines, ETL workflows, metrics, visualizations, and governance practices, turning backend data into

Formación

• 2+ years writing advanced SQL on cloud platforms.
• Deep understanding of healthcare data, such as Medicaid claims, provider networks or clinical data, and its data quality challenges.
• An engineering mindset: you write clean, modular, reusable code and enjoy solving tricky data transformation problems.
• Ability to explain technical data architecture to non-technical policy experts.
• Experience with data governance and version control practices.

Responsabilidades

• Advanced SQL development: design complex queries and stored procedures for high-volume data cleaning, transformation and aggregation.
• Data pipelines and ETL: build automated workflows to ensure data quality and readiness.
• Metric design: write SQL to calculate quality improvement metrics, equity outcomes and disparities across services.
• Visualization and storytelling: turn backend data into visualizations and narratives for leadership decisions.
• Technical data governance: run code reviews and apply version control and documentation standards.

Conocimientos

Advanced SQL

Data modeling

Stakeholder communication

Problem solving

Educación

Bachelor's degree in Data Science, Computer Science, Health Informatics or related

Herramientas

Tableau

Power BI

Git

Descripción del empleo

An independent New York nonprofit working to build a more effective healthcare system is seeking a Data Analyst. A growing new area of its work focuses on Medicaid: advancing quality and equity and supporting the screening and delivery of health-related social needs (HRSN) services.

Our client is looking for 2+ years of deep SQL expertise to build and run the data transformations behind its Medicaid initiatives. You will build robust, scalable SQL infrastructure that turns messy claims and HRSN administrative data into clean, analysis-ready datasets.

Location: New York, NY (3 days/week)

Salary: Up to $110k base + bonus

Responsibilities

• Advanced SQL development. Design complex SQL queries and stored procedures for high-volume data cleaning, transformation and aggregation. Help build and maintain the team's core codebase, working efficiently across millions of records.
• Data pipelines and ETL. Build automated workflows that detect and fix data quality issues. Act as a co-owner of data readiness, making sure Medicaid claims and other administrative data are structured for fast analysis.
• Metric design. Write SQL to calculate quality improvement metrics, equity outcomes and disparities across physical and behavioral health services.
• Visualization and storytelling. Work with stakeholders to turn backend data into visualizations and narratives that support leadership decisions.
• Technical data governance. Run code reviews and apply version control (Git) and documentation standards so results are reproducible.

Requirements:

• 2+ years writing advanced SQL (complex joins, CTEs, window functions, query optimization) on cloud-based platforms.
• Deep understanding of healthcare data, such as Medicaid claims, provider networks or clinical data, and its data quality challenges.
• An engineering mindset: you write clean, modular, reusable code and enjoy solving tricky data transformation problems.
• Ability to explain technical data architecture to non-technical policy experts.

Preferred:

• Bachelor's degree in Data Science, Computer Science, Health Informatics or related
• R programming experience, including nested and higher-order functions.
• Tableau or other data visualization and dashboard tools (Power BI, etc).
• Experience with HRSN (social determinants of health) or Census data.