Senior Financial Analytics Professional

Humana
$89,000 - $121,400Remote

About The Position

Humana’s Specialty Insurance business is seeking a Senior Financial Analytics Professional to join the Specialty finance team and work closely with senior leadership to evaluate, predict and measure the impact of key business decisions. This professional will play a key role in analyzing and forecasting financial performance, developing advanced financial models, designing and governing financial databases, automating analytics workflows and creating new BI tools. This role will influence the Specialty products’ strategies and is critical in enabling informed, data-driven decisions aligned with Humana’s mission of health, compliance, and sustainable growth. The ideal candidate is capable of supporting data modernization projects, advanced in cloud-based data platforms, and proficient in predictive analytics and automation.

Requirements

  • Bachelor’s degree in Finance, Accounting, Economics, Business Analytics, Data Science, Mathematics, or a related field.
  • 5+ years of progressive experience in financial analytics, data analytics or business intelligence, preferably within healthcare, insurance, or managed care environments.
  • Proficiency in SQL, Python, Databricks (or similar cloud-based data platforms), Oracle, Microsoft Excel and Power BI for data extraction, modeling, and visualization.
  • Advanced financial modeling skills with a strong focus on accuracy, detail, and data integrity.
  • Experience with predictive analytics and statistical modeling techniques to support forecasting and business strategy.

Nice To Haves

  • Master's Degree
  • Financial or actuarial background
  • Project Management Certification

Responsibilities

  • Develop advanced financial models using SQL, Python, SAS, Databricks and Oracle to measure performance, identify trends, and drive data-informed decisions.
  • Design and optimize Power BI dashboards that provide real-time insights and key financial metrics to senior leadership through cloud-based datasets.
  • Leverage predictive analytics and machine learning techniques to enhance forecasting capabilities and risk assessment models.
  • Maintain and govern databases, ensuring data integrity, security, and compliance while optimizing performance and accessibility.
  • Extract, clean, and analyze large datasets from multiple sources to drive deeper business insights and identify opportunities for operational efficiencies.
  • Enhance data automation and workflow efficiencies by implementing SQL-based ETL processes and integrating financial data with enterprise platforms.
  • Collaborate with cross-functional teams (actuary, accounting, sales, IT, clinical, and operations) to translate complex data into actionable insights.
  • Streamline and enhance reporting processes by developing scalable, automated solutions that improve the accuracy and speed of decision-making.
  • Monitor and measure business performance through KPI/OKR tracking, ensuring alignment with strategic objectives.
  • Prepare executive-level presentations and reporting packages that distill complex data into clear, strategic recommendations.
  • Support annual budget and long-range planning cycles, including scenario modeling and impact analysis.
  • Evaluate industry, economic, financial, and market trends to forecast the organization's short, medium, and long-term financial and competitive position.

Benefits

  • medical
  • dental
  • vision benefits
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance
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