Data Analytics Manager

Oxbridge Health; Norwalk (CT); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid leave (vacation, sick, holidays)

Company-paid life and disability

Job summary

Oxbridge Health in Norwalk, CT is seeking an experienced Data Analytics Manager to lead our episode pricing and analytics operations, collaborating with internal stakeholders and external customers to deliver clear data-driven insights.

You will mentor Data Analysts, build robust data pipelines, develop reports and visualizations, and translate business needs into models while maintaining data quality. This role demands strong Python skills and healthcare data experience.

Qualifications

• Bachelor's degree in a quantitative field such as statistics, mathematics, economics, or computer science.
• 5+ years of experience using Python and related libraries (pandas/numpy) for data analysis.
• Experience guiding data analysts through problem solving and team output.
• Experience with large healthcare claims data.
• Knowledge of value-based care healthcare markets.
• Strong analytical and communication skills.
• Experience with Git version control.
• Experience setting up data pipelines.
• Experience preparing results for clients.
• Ability to write robust data processing code with error handling.
• Experience with exploratory data analyses and data quality assessment.

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.
• Translate business requirements into models and technical analytical specifications.
• Set up data pipelines to ensure efficient and robust data processing with built-in QA and exception handling
• Review/Maintain a codebase using version control systems such as Git.
• Develop data reports and visualizations to clearly communicate actionable insights to stakeholders.
• Collaborate with stakeholders across the organization to understand their data needs and provide insights to support decision-making.
• Continuously monitor data quality and make recommendations for data cleansing and improvement.
• Identify areas for process improvement and develop recommendations to optimize data flow and analysis.
• Use statistical methods to analyze data and identify trends and patterns.

Skills

Python (pandas/numpy)

Data analytics

Team leadership

Communication

Problem-solving

Data visualization

Statistical analysis

Education

Bachelor's degree in quantitative field

Tools

Git

Python (pandas/numpy) tooling

SQL

Jupyter

Job description

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 an experienced Data Analytics Manager 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 work closely with stakeholders across the organization to understand their needs and develop reports and visualizations that clearly communicate data-driven insights. You will guide and support Data Analysts on a daily basis in the development and implementation of data and statistical models.

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.
• Contribute to translating business requirements into models and technical analytical specifications.
• Set up data pipelines to ensure efficient and robust data processing with built-in QA and exception handling
• Review/Maintain a codebase using version control systems such as Git.
• Develop data reports and visualizations to clearly communicate actionable insights to stakeholders.
• Collaborate with stakeholders across the organization to understand their data needs and provide insights to support decision-making.
• Continuously monitor data quality and make recommendations for data cleansing and improvement.
• Identify areas for process improvement and develop recommendations to optimize data flow and analysis.
• Use statistical methods to analyze data and identify trends and patterns.

Qualifications

• Bachelor's degree in a quantitative field, such as statistics, mathematics, economics, or computer science.
• 5+ years of experience using Python and related libraries (pandas/numpy) for data analysis.
• Experience guiding data analysts through problem solving, computer programming tasks, and being responsible for team output.
• Experience working with large administrative data sets, preferably healthcare claims data.
• Knowledge of healthcare markets, specifically with respect to value-based care
• Strong analytical and problem-solving skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication skills, with the ability to translate complex data into clear and actionable insights.
• Strong organizational skills, with the ability to manage multiple projects and priorities in a fast-paced environment.
• Experience with version control in Git.
• Experience setting up data pipelines.
• Experience preparing results for internal and external clients.
• Ability to compose robust data processing code to enforce expected patterns and handle exceptions.
• Experience with exploratory data analyses and ability to evaluate data usability/quality.
• Health: Medical, dental, and vision insurance
• Retirement: 401(k) with company match
• Paid leave: Vacation, Sick, and company holidays
• Ancillary: Company-paid life and disability insurance

The pay range for this role is:

150,000 - 180,000 USD per year (Norwalk)