The Senior Informaticist partners across Analytics, IT, and business stakeholders to deliver actionable insights informed by subject matter expertise. This role addresses moderately complex to highly complex business problems, requiring deep analytical thinking and the evaluation of multiple data sources and variables.

The Senior Informaticist leverages advanced expertise in data analysis, modeling, and optimization to inform strategy and drive measurable business outcomes. This role applies rigorous analytical methods to predict behavior, optimize programs and products, and accelerate revenue growth.

Key responsibilities include:

• Applying advanced statistical and predictive modeling techniques to develop, test, and validate solutions that improve program quality and performance
• Translating complex datasets into clear, actionable insights for technical and non-technical audiences, including senior leadership
• Building and enhancing financial and operational models to support business strategy and decision-making
• Identifying opportunities for innovation in analytics approaches and continuously improving methodologies
• Influencing departmental strategy through data-driven recommendations
• Making independent decisions on moderately complex to complex analytical approaches and project components
• Exercising significant autonomy in determining objectives, methods, and deliverables

This role requires the ability to connect mathematical concepts to tangible business impact, often with meaningful financial implications.

Use your skills to make an impact

Required Qualifications

• Bachelor's degree with 5+ years of analytics experience, OR Master's degree with 3+ years of experience
• Proven experience in data mining, predictive modeling, and data-driven decision making
• Strong written and verbal communication skills, including the ability to present insights to senior leadership
• High attention to detail and analytical rigor
• Demonstrated passion for improving consumer/member experiences through data and insights

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative field (e.g., Data Science, Statistics, Mathematics, Economics, Computer Science)
• Six Sigma certification or equivalent process improvement methodology
• Advanced expertise in forecasting, simulation, optimization, and predictive modeling techniques
• Experience with modern analytics tools and platforms, including:
  • SQL, Python, or R
  • Power BI (or comparable business intelligence/visualization tools such as Tableau)
  • Databricks or similar cloud-based data and analytics platforms

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$97,900 - $133,500 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and 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 and many other opportunities.

Application Deadline: 06-18-2026