Data Analyst

Oxbridge Health, Inc.; Norwalk (CT); On-site; USD 60,000 - 85,000; Full time

Job summary

Oxbridge Health, Inc. in Norwalk, CT is seeking a Data Analyst to support episode pricing and analytics operations. You will develop reports and visualizations to clearly communicate data-driven insights for internal stakeholders and external customers.

The role involves analyzing large healthcare datasets, maintaining ETL/ELT pipelines, and delivering descriptive analyses with clear charts. Strong Python (pandas) skills and collaboration across teams are essential.

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 robust data processing and data quality evaluation.
• Exposure to large-scale datasets; healthcare claims or administrative data is a plus.
• Ability to perform descriptive analysis and translate findings into clear charts or summaries.
• Excellent communication skills to translate complex data into actionable insights.
• Strong organizational skills to manage multiple projects in a fast-paced environment.
• Familiarity with Git for version control.

Responsibilities

• Analyze large amounts of healthcare data from multiple sources to support business decisions.
• Perform exploratory data analyses and evaluate data quality and usability.
• Assist in ETL/ELT pipelines development and maintenance using established templates and internal tools.
• Conduct data audits, develop reports to monitor pricing quality and coverage, and devise workarounds for data limitations.
• Gather data requirements by participating in stakeholder meetings and documenting business needs.
• Identify key metrics with the team and understand the rationale behind data requests.
• Document existing data workflows using tools like Miro, Confluence, and Jira.

Skills

Descriptive analytics

Stakeholder collaboration

Prioritization

Communication

Education

Bachelor's degree in quantitative field

Tools

Python (pandas/numpy)

SQL

Git

Looker/PowerBI

SQLAlchemy

multiprocessing

Job description

Data Analyst

Oxbridge Health, Inc. Norwalk, Connecticut, United States

About this position

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.

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.

The pay range for this role is:

60,000 - 85,000 USD per year(Norwalk)