Data Analytics Manager

Oxbridge Health•Norwalk, CT

21h•$150,000 - $180,000

About The Position

We are looking for an experienced Data Analytics Manager to support episode pricing and analytics operations for internal stakeholders and external customers. The role works closely with stakeholders across the organization to understand their needs and develop reports and visualizations that clearly communicate data-driven insights. The manager guides and supports Data Analysts in their daily development and implementation of data and statistical models.

Requirements

Bachelor's degree in a quantitative field such as statistics, mathematics, economics, or computer science.
5+ years of experience using Python and related libraries such as pandas and NumPy for data analysis.
Experience guiding Data Analysts through problem solving and programming tasks, and being responsible for team output.
Experience working with large administrative data sets, preferably healthcare claims data.
Knowledge of healthcare markets, particularly value-based care.
Strong analytical and problem-solving skills, including the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent communication skills and ability to translate complex data into clear, actionable insights.
Strong organizational skills and 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 that enforces expected patterns and handles exceptions.
Experience with exploratory data analyses and ability to evaluate data usability and quality.

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 for efficient, robust data processing with built-in quality assurance and exception handling.
Review and maintain a codebase using version control systems such as Git.
Develop reports and visualizations that communicate actionable insights to stakeholders.
Collaborate with stakeholders across the organization to understand data needs and provide decision-making insights.
Monitor data quality and recommend data cleansing and improvement.
Identify process improvements and recommend ways to optimize data flow and analysis.
Use statistical methods to analyze data and identify trends and patterns.
Guide and support Data Analysts in developing and implementing data and statistical models.