Data Analyst
About the job
- A bachelor's degree, ideally in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.
- 1–2 years of experience using Python, including pandas and NumPy, for data analysis and 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; experience with healthcare claims or administrative data is a plus but is not required.
- Ability to perform descriptive analysis and translate findings into clear charts or summaries for the team.
- Excellent communication skills to translate complex data into clear, actionable insights.
- Strong organizational skills and the ability to manage multiple projects and priorities in a fast-paced environment.
- Basic familiarity with Git version control, including branching, committing, pulling code, and submitting pull requests.
- 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 rationale behind data requests.
- Document existing data workflows to help the team identify inefficiencies or error-prone areas using available tools such as Miro, Confluence, and Jira.
- Develop reports and visualizations that clearly communicate data-driven insights to internal stakeholders and external customers.
- Knowledge of a business intelligence tool such as Looker or Power BI.
- Knowledge of basic statistical concepts and models, including ordinary least squares, 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, specifically value-based care.
- Familiarity with artificial intelligence-assisted coding tools such as Codex CLI, Cursor, or Claude Code.
About the company
Oxbridge Health creates health coverage plans centered on Episode Benefit Plans, which bundle all services for a given treatment into a single transparent price to lower costs and improve care. It uses data analytics to establish a protection layer—an exceptions/variances corridor around an episode—to handle unexpected events and provide predictability in spending. The plans mix familiar PPO/HMO features with strong price transparency and consumer-focused design. The company targets employers and works with brokers to reach more clients, drawing on a history of consumer-choice models like POS plans and tiered drug pricing to empower cost-aware decisions. Its goal is to reduce healthcare costs for employers while delivering clearer pricing and better care for employees through data-driven, episode-based coverage.
Company Size
11-50
Company Stage
Series B
Total Funding
$45M
Headquarters
Norwalk, Connecticut
Founded
2023
Get referred to Oxbridge Health
See people who can refer or advise you
Simplify's Take
What believers are saying
- Oxbridge raised $38.5 million in August 2026, extending runway for commercialization.
- Texas launch opened Dallas, Houston, Austin, and San Antonio in September 2025.
- Management claims 10%–30% savings, appealing to CFOs hunting predictable renewal budgets.
What critics are saying
- Oakbridge Insurance Agency's 2026 TTAB opposition creates trademark distraction and rebranding risk.
- Texas expansion still depends on employer adoption; no disclosed customer traction or revenue scale.
- Form D funding plus thin public disclosure signal execution risk before broader market validation.
What makes Oxbridge Health unique
- Episode Benefit Plans bundle care episodes into guaranteed prices, unlike traditional PPOs.
- Oxbridge offers broad network access, including Cigna nationally and Healthcare Highways in Texas.
- Its white-label Episode Advantage Inside plugs into carriers and TPAs within 90–120 days.
Help us improve and share your feedback! Did you find this helpful?
Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Disability Insurance
- 401(k) Retirement Plan
- 401(k) Company Match
- Paid Vacation
- Paid Sick Leave
- Paid Holidays