Data Analyst

Oxbridge Health; Norwalk (CT); Sur place; USD 70 000 - 95 000; Plein temps

Résumé du poste

Oxbridge Health, a Connecticut-based startup focused on episode pricing analytics, is seeking a Data Analyst to support pricing operations and analytics for internal and external stakeholders. You will develop reports and dashboards that translate complex healthcare data into clear, actionable insights, collaborating closely with product and finance teams in a fast-paced environment.

Experience with Python (pandas/numpy), SQL, and BI tools like Looker or PowerBI is preferred, along with strong

Qualifications

• Bachelor's degree in a quantitative field (statistics, mathematics, economics, CS).
• 1-2 years of Python data analysis experience (pandas/numpy) including robust data processing and data quality evaluation.
• Exposure to large-scale datasets; healthcare claims or admin data a plus.
• Ability to perform descriptive analysis and translate findings into charts or summaries.
• Excellent communication to translate data into actionable insights.
• Strong organizational skills for multiple projects in a fast-paced environment.
• Basic familiarity with Git for version control.

Responsabilités

• Analyze large healthcare datasets from multiple sources to support business decisions.
• Perform exploratory data analyses and assess data quality and usability.
• Contribute to ETL/ELT pipelines using established templates and internal tools.
• Conduct data quality audits, monitor pricing quality and coverage, and propose workarounds for data gaps.
• Gather data requirements through stakeholder meetings and document business needs.
• Collaborate with team to identify key metrics and explain the 'why' behind data requests.
• Document data workflows to identify inefficiencies and risk areas (tools: Miro, Confluence, Jira).

Connaissances

Python (pandas/numpy)

Data analysis

Descriptive statistics

Communication

Project management

Git basics

Formation

Bachelor's degree in a quantitative field

Outils

SQL databases

Looker

PowerBI

Git

Description du poste

Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers.

Role Description

We are looking for a Data Analyst to join our team. In this role, you will be responsible for supporting our episode pricing and analytics operations, both to internal stakeholders as well as external customers. You will develop reports and visualizations that clearly communicate data-driven insights.

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 the development and maintenance of 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 to 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 "why" behind data requests.
• Document existing data workflows to help the team identify inefficiencies or error prone areas (available tools include Miro, Confluence, and Jira)

Qualifications

• 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 composing robust data processing code to enforce expected patterns, handle exceptions, and evaluate data usability/quality through exploratory data analyses.
• Exposure to large-scale datasets; experience with healthcare claims or administrative data is a major plus but not required.
• Ability to perform descriptive analysis and translate findings into clear charts or summaries for the team.
• Excellent communication skills, with the ability to translate complex data into clear and actionable insights.
• Strong organizational skills, with the ability to work on multiple projects and priorities in a fast-paced environment.
• Basic familiarity with Git for version control (e.g., branching, committing, pulling code, and submitting pull requests)

Preferred Qualifications:

• Knowledge of a BI tool (i.e., Looker, PowerBI)
• Knowledge of basic statistical concepts and models (e.g. OLS, sampling variability, conditional probability, outlier detection, etc.)
• Experience using SQL databases and Python packages (pandas, sqlalchemy, 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, specifically with respect to value-based care
• Familiarity with AI-assisted coding tools such as Codex CLI, Cursor, Claude Code, etc.