Data Analyst
Platform ScienceFull Time
Junior (1 to 2 years)
Candidates must have at least 3 years of experience with Python and the Pandas library, and 2 years of experience in a Jupyter Notebook environment, on the Databricks Platform, with Microsoft PowerBI or other data visualization software, working with Big Data and performing root cause analysis, and in business ownership of data processes. In-depth experience with Microsoft Office, including Excel formulas, pivots, charts, and graphs, is also required. Preferred qualifications include experience in Managed Care, Medicaid, risk adjustment, and data mining and predictive modeling techniques.
The Medicaid Business Intelligence Engineer will solve complex business problems using data to provide insights to decision-makers. This role involves supporting the development of data, processes, reporting, and visualizations for Medicaid risk adjustment, prospective programs, and interoperability. The engineer will manage Big Data and data quality in Databricks, create innovative solutions, and interpret data to drive business outcomes and decisions.
Health insurance provider for seniors and military
Humana provides health and well-being services, focusing on Medicare Advantage plans for seniors, military personnel, and communities. Their plans include HMO, PPO, and PFFS options, designed to improve health outcomes through comprehensive and flexible coverage. Humana's revenue comes from government contracts and member premiums, and they aim to maintain high renewal rates by offering quality service and competitive benefits. The company stands out by fostering a culture of inclusivity and belonging among its employees, while also ensuring accessibility for all members, including offering free language interpreter services. Humana's goal is to deliver value to its members through an extensive provider network and innovative health solutions.