• Analyze complex healthcare data sets to identify trends, patterns, and insights. • Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. • Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. • Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. • Leverage real-world, statistical data and modeling to recommend, test, validate, and track supporting health economics, return on investment (ROI), and healthcare benefit models for client businesses beyond traditional methods. • Develop analytical analytics, data models, reporting, and data mining tools that scale across clients. • Codevelop and implement data collection strategies, design, and maintain databases. • Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. • Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity. • Identify opportunities for process improvement and efficiency through data analysis. • Stay up-to-date with industry trends and best practices in data analysis. • Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. • Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. • Consult and provide expertise on new or enhanced product development opportunities including discussions on methodology, data requirements, coding implications, and the viability and profitability of a given proposal. • Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). • Develop and maintain effective cross-functional working relationships to assure accurate, timely teamwork and project execution with assigned teams. • Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. • Build and maintain client relationships. • Monitor market trends, engage in market research, and identify opportunities for initiatives. • Support the development and training of team members and colleagues. • Participate in peer review of your own work as well as your colleagues. • Document all developed work with version controlling and logic documentation.