budget and forecast + Perform risk pool, settlement, and payor reconciliation activities; ensure accurate accruals and revenue recognition + Identify variance drivers, coding gaps, and revenue leakage within complex datasets + Support forecasting and run-out analysis tied to delayed reimbursement cycles + Partner with finance, operations, and clinical leaders to deliver actionable insights on total cost of care and performance improvement opportunities + Evaluate payor contract terms and proposed rate changes, modeling financial impact What success looks like + Ability to take complex, messy datasets and turn them into clear financial narratives + Strong understanding of risk-based reimbursement models and contract performance + Confidence navigating ambiguity, discrepancies, and evolving contract terms + Delivering insights that help leadership optimize revenue and reduce cost of care This position is primarily remote with occasional travel to the Portland/Vancouver area. Requirements 5+ years of experience in financial analysis, healthcare analytics, or population health environments Experience working with: + Claims data & large datasets + Financial modeling & variance analysis + Risk-based or value-based reimbursement models Strong technical skills in: + Excel (advanced modeling, PowerPivot) + SQL or data querying tools + Data visualization (Power BI, Tableau, etc.) preferred Familiarity with: + HCC / RAF risk adjustment methodologies + Medicare Advantage, MSSP, ACO, or similar programs Ability to communicate insights clearly to executive and operational stakeholders Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies.