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We're committed to bringing passion and customer focus to the business.
Brief about the Team & Fractal:
Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling
Brief about the role:
Healthcare Finance & Forecasting Consultant (Payer Ops)
Experience: 10–14 years (finance/analytics)
Domain: Payer operations finance—forecasting, unit cost modeling, budgeting, and ROI Build the economic backbone for transformation programs. Model unit costs (e.g., cost per claim/appeal), forecast volume/mix, and quantify savings from automation and AI. Partner with product and operations to create defensible business cases and benefits realization.
Key Responsibilities
• Financial Modeling & Forecasting
• Develop drivers-based forecasts for claims, A&G, enrollment volumes and staffing
• Model unit costs: labor minutes, variable non-labor (print/postage), and platform allocations
• Business Case & ROI
• Quantify automation impacts (minutes saved, FPY lift, re-touch reduction) • Create sensitivity scenarios; track actuals vs. plan in a benefits dashboard • Data & Analytics
• Define telemetry, cost attribution, and allocation methodologies • Partner with Data/IT to build reliable data pipelines and BI views
• Governance & Reporting
• Own monthly/quarterly performance readouts; support audits and compliance reporting Must-Have Qualifications
• Payer finance or healthcare analytics experience with strong Excel/SQL/BI
• Forecasting/statistics familiarity (time series, regression) and scenario modeling
• Ability to tie operational metrics (FPY, SLA, rework) to P&L outcomes
• Executive storytelling and stakeholder management
• Compliance: Working knowledge of HIPAA Privacy/Security, PHI/PII handling, audit readiness, data governance.
• Techno-Functional: Ability to translate business needs into technical designs across cloud, data, APIs, and interoperability.
• GenAI/Analytics: Practical experience with GenAI solutioning (e.g., RAG, prompt engineering, evaluation) and classical analytics (segmentation, anomaly detection).
• Cloud/Data Tools: Exposure to Azure/AWS/GCP, Snowflake/Databricks/BigQuery, SQL/PySpark, ETL/ELT (ADF/Glue), APIs (REST/GraphQL), Kafka, Tableau, Power BI.
• Consulting & BA: Proven proposal/RFP experience, SOW/MSA inputs, stakeholder management, requirements elicitation, UAT planning. Preferred Qualifications
• Experience with cloud data warehouses (Snowflake/BigQuery/Databricks) • Knowledge of cost accounting and activity-based costing in payer ops • Certifications: CFA/FRM (optional), Azure/AWS data certs
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related QueriesIndia: [email protected]
Outside India: [email protected]
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