• Set and execute the Primary Care analytics strategy aligned to clinical quality, patient experience, growth, and financial goals. • Lead a high-performing team spanning BI engineering, data product management, and clinical/operational reporting. • Establish a modern analytics operating model (product-centric, value-based roadmaps, agile delivery, and service-level commitments). • Serve as analytics executive partner to Primary Care Leadership and key enterprise partners. • Champion adoption via training, office hours, field roadshows, and “voice of the user” feedback loops. • Co-own the central Primary Care data model with enterprise IT and analytics partners. • Own enterprise-grade BI for Primary Care: standard definitions, certified datasets, KPI hierarchy, and role-based dashboards. • Prioritize and deliver high-value use cases: panel optimization, risk stratification, care gap closure, and others. • Evaluate and deploy AI responsibly in partnership with central support teams.

• Use practical statistical techniques and logical reasoning to correctly design metrics and integrate multi-source data. • Apply an understanding of structured, semi-structured, and unstructured data sources and different schemas to access and troubleshoot varied data sources. • Perform 'data sleuthing' to find what data is available and determine if ideas brought forward by user groups are technically feasible. • Write SQL data queries and learn advancing techniques on the job. • Use Tableau Creator, Power BI, Business Objects Web Intelligence (Bi4), SQL, DAX, and other tools to produce advanced reports, interactive dashboards, calculations, and projections for other analysts, internal business users, and occasionally self-serve clients. • Apply an understanding of business operations and asset/fleet management to design interactive content that will be meaningful to the relevant user groups. • Perform intense quality assurance checks on your own work and the work of your teammates. • Identify, understand and document data issues in Holman databases when they arise in project work. • Identify and collaborate with subject matter experts and resources for cross-department projects such as driver safety dashboards and Holman supply chain logistics automated reports. • Lead and collaborate on several high-visibility projects simultaneously. • Use advanced analytic and quantitative tools, modeling techniques, and data mining procedures as needed. • Apply visual and user interface best practices, accessibility standards, Holman branding, and in-tool help guides to all dashboards and reporting tools. • Develop communication that clearly describes tools and methodologies to promote understanding among user groups. • Partner with training lead, Holman U, and others on user training content for your projects. • Seek opportunities for innovations and enhancements to existing processes and tools to benefit clients and critical stakeholders. • Respond to urgent requests for internal data related to RFPs, HSO strategy projects, and other urgent business needs. • Perform all other duties and special projects as assigned.

• Design end-to-end analytical frameworks to assess provider lifecycle stages, from initial registration to 'Super User' status. • Partner with Commercial Operations to embed findings into sales workflows and decision-making forums. • Utilize statistical techniques to identify leading contributors to churn, differentiating between seasonal noise and structural issues. • Prepare and present high-stakes narratives for senior management, turning complex data sets into strategic recommendations.

• Responsible for updating and reporting data for internal and external clients • Analyze scenarios and indicator behavior across the company • Create new reports and dashboards as requested by business areas or internal strategies • Support ad-hoc requests from the department • Participate in BI area projects • Support automation and improvements of various BI tools and processes