Role Description This is a full time, benefited, salaried role. This position is work-from-home. Join the Scripps Health team and work alongside passionate caregivers and provide patient-centered healthcare. Receive endless appreciation while you build a rewarding career with one of the most respected healthcare organizations nationwide. Why join this team? - The Payer Relations team plays a critical role in advancing Scripps Health’s financial strategy and long-term growth. - We are looking for a Data Analyst to support our vision to transform payer relationships from transactional to strategic by leveraging data and analytics to predict, model and secure optimal reimbursement terms while achieving sustainable net revenue growth and margin targets. Responsibilities include: - Responsible for transforming complex payer data into actionable insights that drive smarter contract decisions. - Analyze complex data sets, proactively explore insights, and clearly communicate findings to both clinical and operational stakeholders. - Lead cross functional efforts across finance, strategy, and health system performance, to effectively negotiate, monitor, and optimize payer relationships. - Provide the analytical foundation for strategic growth, lead reimbursement modeling, trend analysis, financial proposal development, contract term optimization, risk assessment, and payer performance audits. - Direct business analysis for new and renewing payer contract negotiations, maintain payer contract portfolio reporting, and serve as a key partner to revenue cycle and other internal teams. Qualifications - Bachelor's degree in business, math or health administration. - 3 years broad-base healthcare experience with knowledge of healthcare products and services knowledge. - Expert knowledge of Microsoft Excel, SQL and data manipulation. - Excellent communication skills and exceptional relationship-building skills. - Strong SQL and data manipulation skills, detail-oriented with strong analytical abilities. - Ability to work both independently and as part of a team. - Strategic and critical thinking skills. - Strong problem-solving skills and the ability to adapt. Requirements - Master's degree in business, health administration, math or statistics preferred. - Knowledge and understanding of EPIC, Business Intelligence reporting technologies, and data mart technologies and principles. - Strong understanding of healthcare payer systems, reimbursement models, and insurance policies. - Knowledge of CPT, HCPCS, ICD-10, facility revenue codes and healthcare claims data; experience with billing/payment systems. - Experience maintaining expected reimbursement in contract management systems (e.g., EPIC). - Ability to analyze data and make data-driven decisions. - Knowledge of healthcare regulations and compliance standards. - Proficiency in Strata Axiom contract management software and Epic EHR, including Cogito - Slicer Dicer.

• Lead and mentor a team of data scientists and analysts; provide technical guidance and ensure high-quality deliverables. • Design, develop, and optimize machine learning models (classification, regression, clustering, forecasting, etc.). • Build and maintain big data processing pipelines using PySpark, Spark SQL, and distributed computing environments. • Architect and deploy scalable ML solutions on Azure (Azure Databricks, Azure ML, ADLS, ADF). • Oversee feature engineering, model lifecycle management, monitoring, and performance tuning. • Collaborate with cross-functional teams to translate business needs into analytical solutions. • Present insights, model outputs, and recommendations to technical and business stakeholders.

• Lead the development and implementation of Sumer’s firmwide audit data, and innovation strategy. • Identify how standardised audit data can be leveraged to improve audit quality, insight and operational performance. • Support integrated, automated monitoring of KPIs through the design of the integration of existing dashboards and reporting solutions (e.g. audit quality indicators and adoption metrics) to monitor adoption. • Work with the wider audit quality team to ensure training relevant to automation meets the evolving needs of our auditors. • Identify and develop tools and solutions that deliver real value, maintaining and prioritising a back-log in a way that maximises benefits. • Drive continuous improvement through automation, helping teams reduce manual effort, increase consistency and focus on areas of professional judgement. • Lead pilots and rollout of AI and automation solutions, including low-code tools and workflow automation platforms. • Help drive a culture of innovation within Sumer, delivering initiatives that bring our auditors on the transformation journey. • Work closely with IT and audit teams to design and implement integrations across audit systems and tooling that support automation. • Build and harness API-driven solutions to improve data extraction, transformation and analysis. • Set up and test new data connections and workflows, taking innovative solutions through review and implementation. • Support the development of governance frameworks for AI and automation within audit, ensuring alignment with policy, regulation and best practice. • Exercise judgement to ensure solutions put in place manage risk and traceability depending on the output. • Translate innovation concepts into scalable solutions embedded into day-to-day audit workflows. • Engage and influence stakeholders across audit, IT and leadership to drive adoption and successful delivery. • Continuously assess emerging technologies and identify opportunities to enhance audit quality and efficiency.

• Lead the development of integrated reporting and analytics across paid search, paid social, programmatic, GA4, SEO, and retail media platforms. • Build advanced dashboards and provide data-driven recommendations to optimize media investment and strategy. • Analyze complex datasets to identify media performance trends and optimization opportunities. • Support media planning by providing actionable insights and collaborating with internal teams and external agency partners. • Present findings and recommendations to senior leadership and cross-functional teams. • Ensure data accuracy, process efficiency, and scalability across analytics initiatives. • Stay current on industry trends in media analytics, business intelligence, and emerging media platforms.