• Independently assess the design, performance, and implementation of forecasting and stress testing models • Evaluate model methodology, assumptions, and design for conceptual soundness • Assess the quality and appropriateness of model development data and construction • Conduct testing to evaluate model performance under various scenarios • Verify model implementation accuracy and assess performance monitoring frameworks • Provide independent challenge to model developers and track issues through resolution • Prepare validation reports and communicate findings to stakeholders • Perform periodic validations to ensure model suitability and identify emerging risks

• Lead cross-functional requirements discovery and end-to-end analytics delivery, translating business strategy and KPIs into scalable reporting solutions. • Serve as a shared analytics resource across multiple business domains (Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, and more), aligning business requirements with data and analytical solutions. • Manage the intake and prioritization of analytics requests, balancing competing demands and setting clear expectations on scope, deadlines, and deliverables. • Build and maintain dashboards, reports, and reusable data products using Under Armour's standard BI tools, with an emphasis on clarity, reusability, and self-service insight. • Serve as a thought-leader with an emphasis on innovation, finding new ways to optimize and simplify UA's reporting functions. • Coach and mentor analysts, drive analytical best practices, and own documentation and knowledge transfer across the EDM Center of Excellence. • Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise-wide data strategy. • Monitor changes in the business and proactively recommend where analytics can further improve performance, synthesizing and presenting findings and project status to stakeholders and leadership.

• Support the Batch Reprocessing and Payment Integrity function by designing and delivering the reporting, dashboards, and analytical tooling that measure operational performance across the claims reprocessing lifecycle. • Partner with operations leadership to define complex reporting requirements. • Build repeatable and auditable data pulls in place of manual one-off extracts. • Contribute to data quality and stewardship. • Design, build, and maintain operational dashboards and reports that track reprocessing cycle time, post-approval turnaround, queue and hold status, stalled or aging tickets, contestment volume, and recovery throughput. • Write and optimize complex SQL against multiple claims adjudication systems and an enterprise data platform. • Replace manual, ad-hoc extracts with documented, repeatable, and parameterized data pulls. • Translate operational questions from team leadership into clear reporting requirements. • Conduct ad-hoc analysis to answer time-sensitive operational and prioritization questions. • Support data quality and stewardship efforts.

• Responsible for creating and generating reports that provide analytics to the global recruiting team up to executive management; develop and manage weekly, monthly & quarterly reports • Respond quickly to ad-hoc data requests inclusive of research, reporting, and analysis requests from recruiting team members, as well as Operations, Business Development, and other Parexel departments • Analyze recruitment data and metrics to identify trends, bottlenecks, and areas for improvement in the hiring process • Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to recruitment • Collaborate with hiring managers and recruiters to understand their needs and provide data-driven recommendations • Support the development and implementation of new recruitment strategies based on data insights • Contribute to the continuous improvement of recruitment operations through process mapping and optimization • Develop standardized tools, methodologies and business processes aimed at improving research, reporting, and analysis efficiency • Develop and present key findings and actionable recommendations to internal stakeholders, communicating the approaches taken as well as potential limitations and caveats