Data Analytics Manager

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.

• →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.

• 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.