• Analyze integrated marketing and customer journey datasets to understand the drivers of success/failure in the context of client strategy and develop clear recommendations for a non-technical audience from this data. • Build machine learning models (scikit-learn, XGBoost) & run statistical experiments (control vs. exposed, MAB) to validate, predict, and identify drivers of marketing outcomes. • Explore and learn to leverage new analytics datasets and tools, helping clients understand how they can support insights and optimization. • Design, build, and train clients to understand reporting, dashboards, and performance insights for ongoing client delivery (Data Studio, PowerBI, Tableau, PowerPoint). • Present and discuss analysis with internal stakeholders and clients, including adapting content for different audiences. • Build and maintain data architecture documentation to ensure clarity across teams on what datasets are canonical and where they come from. • Mentor junior analytics team members to support their ongoing development, always promoting creativity as well as structured thinking.

• Lead analyses that translate data findings into clear, actionable insights and contribute to post-campaign reports. • Build and maintain tagging models using a mix of prompt engineering and traditional machine learning methods. • Synthesize analysis and insights across programs to inform strategy for future campaigns. • Contribute to research for organic social programs, including scoping and analyzing RCTs. • Draft presentations of experimental learnings, and share findings across teams.

• Act as a vital data thought partner to leadership, delivering actionable insights and recommendations that empower integrated, data-informed decision-making across the organization. • Champion day-to-day analytics while architecting scalable reporting platforms to enhance the efficacy of our payments ecosystem. • Pinpoint frictions in the user journey to optimize experiences for our global Guest, Host, and agent communities through rigorous problem-solving. • Solve complex domain challenges using advanced quantitative measurement, machine learning models, AI, and experimentation to provide fresh perspectives on existing solutions. • Develop sophisticated analytical frameworks and statistical models to establish causal inference and drive measurable business impact. • Bridge the gap between technical complexity and strategic influence by translating experimental results into compelling narratives for executive stakeholders. • Influence the eTeam-level roadmap by defining key metrics in unstructured spaces and providing data-backed strategy recommendations.

Role Description NHC HomeCare & Hospice is seeking an experienced Clinical Informatics Analyst to serve as a key liaison between clinical operations and technology. This fully remote position plays an important role in optimizing clinical workflows, supporting electronic health record systems, and driving process improvement initiatives across our home health and hospice services. The ideal candidate will have experience with Homecare Homebase (HCHB), a strong understanding of home health and hospice operations, and the ability to collaborate effectively with clinical, operational, and IT teams. - Serve as the subject matter expert for Homecare Homebase (HCHB) and related clinical applications. - Analyze and improve clinical workflows to enhance efficiency, compliance, and user experience. - Support system testing, upgrades, implementations, and optimization efforts. - Provide end-user support, troubleshooting, and training. - Develop reports, dashboards, and analytics to support clinical and operational decision-making. - Partner with stakeholders to promote workflow standardization, data integrity, and continuous improvement. Qualifications - Experience working with Homecare Homebase (HCHB). - Knowledge of home health and hospice operations, workflows, and regulatory requirements. - Experience supporting EHR systems and clinical applications. - Strong analytical, problem-solving, communication, and training skills. - Proficiency with Microsoft Office applications, including Excel, Word, PowerPoint, and Teams. Benefits - Flexible Schedule - Competitive Pay & Holiday Incentive Pay - Earned Time Off - Health, Dental, Vision, Disability and Life insurance - 401k with generous company contributions - Tuition Reimbursement Opportunities - Advancement Opportunities