About The Position

Modivcare is seeking an experienced principal-level analytics professional to help transform its pricing function from a largely spreadsheet-based process into a connected, data-driven operating model. The role uses advanced financial modeling, SQL-based analysis, automation, and AI-enabled workflows to improve pricing accuracy, financial performance, and commercial decision-making. The position develops analytical models, evaluates contract economics, and identifies ways to improve pricing processes. It calls for a highly analytical, hands-on professional who can work independently with complex datasets, challenge assumptions, and collaborate across teams to deliver business insights.

Requirements

  • Bachelor’s degree in a related field, or an equivalent combination of education and/or experience.
  • Seven or more years of relevant experience in pricing analytics, commercial analytics, decision science, financial analytics, underwriting analytics, healthcare economics, strategic finance, or similar quantitative roles.
  • Expert-level Excel financial modeling skills, including the ability to build sophisticated models from scratch with scenario and sensitivity analysis.
  • Strong hands-on SQL capability.
  • Experience working directly with large or complex datasets.
  • Strong understanding of P&L economics, unit economics, margin, forecasting, and financial drivers.
  • Ability to identify data issues, reconcile conflicting information, and challenge assumptions.
  • Strong executive communication skills.
  • Demonstrated ability to work independently in ambiguous environments.

Nice To Haves

  • Python or R experience.
  • Experience with Power BI, Tableau, Alteryx, Databricks, Snowflake, Fabric, or similar analytical platforms.
  • Experience using generative AI in analytical or financial workflows.
  • Experience with automation or process redesign.
  • Healthcare, insurance, transportation, logistics, marketplace, or other complex network-business experience.
  • Experience comparing forecast or underwritten results with actual operating performance.

Responsibilities

  • Build and enhance complex pricing and financial models.
  • Query and analyze large datasets independently using SQL.
  • Translate utilization, membership, transportation cost, operational cost, and contract assumptions into financial outcomes.
  • Perform scenario, sensitivity, downside, and break-even analysis.
  • Investigate actual contract performance against original underwriting assumptions.
  • Develop reusable benchmarks and analytical methods.
  • Reduce manual analytical work through automation.
  • Apply AI to data analysis, research, model development, quality assurance, and workflow improvement.
  • Partner with Pricing, Underwriting, Finance, Operations, Data, and Technology teams to build future-state pricing capabilities.

Benefits

  • Medical, dental, and vision insurance.
  • Employer-paid basic life insurance and AD&D.
  • Voluntary life insurance for employees, spouses, and children.
  • Health care and dependent care flexible spending accounts.
  • Pre-tax and post-tax commuter and parking benefits.
  • 401(k) retirement savings plan with company match.
  • Paid time off.
  • Paid parental leave.
  • Short-term and long-term disability.
  • Tuition reimbursement.
  • Employee discounts.
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