Company Overview:
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.
Skills Required
- Bachelor's degree in a quantitative field
- 1-2 years experience using Python for data analysis
- Ability to perform descriptive analysis
- Excellent communication skills
- Strong organizational skills
- Basic familiarity with Git for version control
What We Do
We are Oxbridge Health™, an early-stage healthcare company designed to challenge the current paradigm of how people access healthcare, how providers are organized and paid, and how employers engage their employees, to finally break the curve that has been crushing corporations and consumers alike for decades. Comprised of seasoned pioneers in the field of healthcare, whose experience spans multiple organizations and approaches, we have identified a need for a new form of health insurance: one which is built around the power of Episodes of Care. Join us as we work to create the ultimate healthcare logistics company, designed to truly deliver the right care, at the right time, at the right place, for the right price; and as we answer the question: "what if we could present information in a way that consumers could truly be activated--by adding a Fifth Right: the right choice?"
