• Partner with sr. planners and leadership to provide detailed analytics on captured data • Understand critical data flow and tasks/jobs for next level analysis • Help build complex database queries and utilize Python for data enhancement • Coupling AI/ML technologies to improve capacity management functions • Create and document critical processes in support of capacity management

• Collect, clean, and analyze project portfolio data from various sources • Develop and maintain portfolio reporting models and dashboards using tools such as Power BI, Tableau, or Excel • Automate data collection, transformation, and reporting processes to improve efficiency and accuracy • Apply AI and machine learning techniques to uncover trends, predict risks, and enhance portfolio insights • Support the creation of automated reporting solutions for project status, resource allocation, and financial metrics • Assist in identifying trends, risks, and opportunities across the project portfolio • Collaborate with cross-functional teams to understand reporting requirements and deliver actionable insights • Document processes and contribute to continuous improvement initiatives

• Partner with business functions within the Insurance team to understand their analytics needs and produce dashboards and analytics solutions that allow them to execute more effectively • Work with business leaders to define key metrics and build reporting to monitor performance along those metrics • Identify data gaps and work with Engineering to fill those gaps • Work with stakeholders to develop requirements for data models in our data warehouse that enable performant, intuitive analyses • Conduct in-depth investigative data analyses that lead to actionable insights, owning the entire process from ideation to execution to presentation of findings to stakeholders • Help structure A/B tests, establish goals and define instrumentation and logging requirements for tests and features • Collaborate effectively with Web, QA, and Data Engineers to productionalize data

• Lead and mentor a team of Implementation Claims Analysts, setting priorities, performance expectations, and development plans. • Partner with Implementation leadership to align analytics deliverables with client goals, timelines, and success metrics. • Act as a subject-matter expert in claims analytics for complex or high-visibility client implementations. • Oversee large-scale analysis of claims data related to charge capture, reimbursement, underpayment, overpayment, and payment accuracy. • Ensure the delivery of exception-driven, actionable insights that clearly identify systemic versus isolated issues. • Review and validate analytical outputs, ensuring accuracy, consistency, and clarity in reporting and client-facing deliverables. • Guide analyses related to payor reimbursement behavior and trends, RVU productivity and payment alignment, revenue cycle optimization opportunities, and financial performance to benchmarks, goals, and norms. • Partner with GTM and Customer Success teams to support implementations, renewals, and expansion opportunities through analytics insights. • Collaborate with Product and Engineering teams to influence roadmap priorities based on claims analysis findings and client needs. • Serve as a senior analytics representative in client-facing discussions, executive readouts, and strategic reviews. • Guide data ingestion and processing pipelines using SQL*Loader, Oracle, shell scripting, and cloud-based tools. • Oversee advanced analytics leveraging SQL, PL/SQL, Python, Scala, Spark, and AWS.