Data Analyst

Oxbridge Health • Norwalk, CT

5d • $60,000 - $85,000

About The Position

We are looking for a Data Analyst to support episode pricing and analytics operations for internal stakeholders and external customers. The role develops reports and visualizations that clearly communicate data-driven insights and supports business decision-making through analysis of healthcare data.

Requirements

• Bachelor's degree, ideally in a quantitative field such as statistics, mathematics, economics, or computer science.
• 1–2 years of experience using Python (pandas/numpy) for data analysis, including writing robust data-processing code to enforce expected patterns, handle exceptions, and evaluate data usability and quality through exploratory data analyses.
• Exposure to large-scale datasets.
• Ability to perform descriptive analysis and translate findings into clear charts or summaries for the team.
• Excellent communication skills, including the ability to translate complex data into clear, actionable insights.
• Strong organizational skills and ability to manage multiple projects and priorities in a fast-paced environment.
• Basic familiarity with Git for version control, such as branching, committing, pulling code, and submitting pull requests.

Nice To Haves

• Experience with healthcare claims or administrative data.
• Knowledge of a BI tool such as Looker or Power BI.
• Knowledge of basic statistical concepts and models, such as OLS, sampling variability, conditional probability, and outlier detection.
• Experience using SQL databases and Python packages such as pandas, sqlalchemy, and multiprocessing.
• Experience developing Python utility packages for use across multiple scripts, chunking large datasets for efficient processing, and using abstraction to refactor complex processes.
• Knowledge of healthcare markets, particularly value-based care.
• Familiarity with AI-assisted coding tools such as Codex CLI, Cursor, or Claude Code.

Responsibilities

• Analyze large amounts of healthcare data from multiple sources to support business decision-making.
• Perform exploratory data analyses and evaluate data quality and usability.
• Assist in developing and maintaining ETL/ELT pipelines using established templates and internal tools.
• Perform routine data audits to flag quality issues, develop reports to monitor pricing quality and coverage, and assist in developing workarounds for data limitations.
• Assist in gathering data requirements by participating in stakeholder meetings and documenting business needs.
• Work closely with team members to identify key metrics and understand the reasons behind data requests.
• Document existing data workflows to help the team identify inefficiencies or error-prone areas, using tools such as Miro, Confluence, and Jira.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level