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Senior Financial Analytics Professional

Job in Concord, Merrimack County, New Hampshire, 03306, USA
Listing for: Humana Inc
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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The Senior Financial Analytics Professional manages data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues. The Senior Financial Analytics Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

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.

Key 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.

A successful candidate would have:

  • Strong analytical and problem-solving skills with a strategic mindset.
  • Excellent communication skills (written and verbal) with the ability to distill complex data into clear insights for executive stakeholders.
  • The ability to collaborate cross-functionally with finance, technology, and operational teams.
  • Expertise in data management and automation to support strategic planning and business performance monitoring.

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Required Qualifications
  • 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.
Preferred Qualifications
  • Master's Degree
  • Financial or actuarial background
  • Project…
Position Requirements
10+ Years work experience
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