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 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.
Benefits
- 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
Skills Required
- Bachelor's degree in statistics, mathematics, economics, computer science, or another quantitative field
- 5+ years of experience using Python and related libraries, including pandas and NumPy, for data analysis
- Experience guiding Data Analysts and being responsible for team output
- Experience working with large administrative datasets
- Knowledge of healthcare markets and value-based care
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to translate complex data into actionable insights
- Strong organizational skills and ability to manage multiple projects and priorities
- Experience with version control using Git
- Experience setting up data pipelines
- Experience preparing results for internal and external clients
- Ability to write robust data-processing code with exception handling
- Experience conducting exploratory data analysis and evaluating data usability and quality
- Experience with healthcare claims data
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?"
