• Manage analytics and machine learning projects from kick-off to completion, ensuring their analytic rigor and include actionable results to detect and deter FWA • Guide junior team members in the completion of technical tasks while remaining hands on to analyze claims data and conduct advanced statistical analyses when needed • Use predictive modeling to increase and optimize efficiencies, process improvements, and other business outcomes • Partner with subject matter experts to deliver quality, actionable findings • Present complex analytics and insights in a comprehensible manner to a range of audiences (technical/non-technical) and to various levels of leadership • Identify opportunities for leveraging Medicare and Medicaid data to drive insightful FWA solutions • Advocate for and help implement best practices in data management and analytics to drive continuous improvement • Effectively communicate with team members while working remotely • Perform additional duties as assigned

• Analyze user needs and automate processes • Develop and optimize data models using dimensional modeling techniques • Lead end-to-end development of Power BI solutions • Collaborate with cross-functional teams including data engineers and business users

• Manage the company’s user acquisition and retention funnels • Develop, implement, track, and optimize user acquisition campaigns across multiple platforms • Own BI and CRM dashboards and measure the success of marketing channels and efforts • Run experiments and iterate on the highest ROI growth strategies • Work closely with a small team and take ownership of important projects from the get-go

• Provide services and support as a Project Facilitation (PF) Services (Data Analyst (DA)) in the Energy, Resources, And Industrials Industry Sector focusing on Management And Operations Solutions for clients such as U.S. Department of Energy’s (DOE) Federal Energy Management Program (FEMP) (DOE | FEMP) | National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) • Collect and analyze data related to energy use and project performance. • Provide insights and recommendations based on data analysis to support decision-making and optimize energy project outcomes