• Optimize decisions and execution with analyses, and communicate to internal and external stakeholders • Partner with our Strategic Alliances and Client Success Teams as the data SME for respective Revenue segments and merchants. • Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance. • Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution. • Standardize common use cases, provide the analytics infrastructure, and automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants. • Define KPIs, performance benchmarks, and methodologies, including identifying and working with unstructured and structured data sources (in-house and third-party) to enable solutions and generate actionable insights. • Provide project and analytics guidance to a cross-functional team, acting as the analytics point of contact. • Propose, monitor, and contextualize experiment design and execution to drive optimizations of Affirm’s GTM efforts, empirically quantify the value of Affirm to our prospective merchants, and upsell enhanced offers to existing merchants.

Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies). Join HAS to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and downstream products. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving. Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

• Analyze large-scale pricing datasets to identify trends and benchmark comparable properties across regions • Architect core pricing intelligence systems using robust statistical ML methods that form the foundation for our next-generation pricing platform • Build enterprise-grade ML models that balance sophistication with interpretability, ensuring stakeholder confidence and regulatory compliance • Develop strategic pricing algorithms that combine the reliability of proven statistical methods with the innovation of modern ML engineering • Advanced analytics experience, including experimental design, A/B testing, and causal inference methods • Collaborate cross-functionally with engineers, analysts, and business teams to uncover pricing opportunities • Perform exploratory data analysis and communicate clear, actionable insights to leadership and stakeholders • Drive business impact by building strategic models and thriving in a fast-paced, high-growth environment

• Develop and execute comprehensive financial data strategy aligned with organizational objectives • Serve as primary liaison between finance and business units for data and analytics requirements while providing strategic consultation on data and recommendations • Present analytics findings and strategic recommendations to business leaders • Establish and maintain strong relationships with internal customers to ensure solution alignment with business needs • Lead the democratization of financial data across all business units and stakeholder groups • Establish frameworks for data management, security, and accessibility • Drive cultural transformation toward data-driven, scalable and sustainable solutions in finance • Design and deliver projects focused on eliminating manual work through process excellence and intelligent automation • Identify repetitive finance processes suitable for robotic process automation (RPA) and workflow optimization • Measure and report on productivity gains achieved through automation initiatives • Establish continuous improvement frameworks for ongoing process enhancement • Lead initiatives to connect and standardize data flow across the finance organization • Establish best practices and standards for advanced analytics development, validation, and monitoring • Develop advanced analytics capabilities including predictive modeling, scenario analysis, and statistical forecasting • Oversee development process and product management of enterprise data visualization platforms and self-service analytics tools • Drive adoption of next-generation analytics including real-time dashboards, interactive reporting, and mobile-enabled insights • Provide central intelligence and development support for solutions across finance functions • Establish best practices and standards for advanced analytics development, validation, and monitoring • Lead evaluation and deployment of AI tools for finance process optimization • Collaborate closely with Digital Technology (DT) teams to identify, evaluate, and implement advanced analytics tools and platforms • Coordinate technology roadmaps to ensure seamless integration of finance systems with enterprise data architecture • Champion the adoption of emerging technologies including cloud-based analytics, machine learning platforms, and real-time data processing tools • Oversee vendor relationships and technology partnerships that support finance analytics capabilities