Become a part of our caring community and help us put health first
 

The Senior Informaticist coordinates with other analytics, IT and business areas across the organization to ensure work is completed with insights from knowledge SMEs.
The Senior Informaticist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Informaticist leverages its advanced knowledge of data, modeling, optimization, and tools, applies disciplined analytics to predict behavior and optimize programs and products to maximize revenue growth.

• Utilizes advanced or predictive modeling to develop, test and validate cases that improve the outcomes and quality of the programs we offer.

• Contributes to more innovative approaches to financial models as it builds knowledge of the business context in which it operates.

• Understands and analyzes complex data, articulates to various units within the company at the appropriate level, impacts the business from mathematical concepts which have a potentially sizeable dollar impact on the business.

• Begins to influence department’s strategy.

• Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction.

• Exercises considerable latitude in determining objectives and approaches to assignments.

Use your skills to make an impact
 

Required Qualifications

• Bachelor's degree and 5 or more years of data analytics experience OR Master's degree and 3 years of experience

• 3 plus year's experience with data mining, SQL data structuring for analytics, and using data and visualizations to drive business outcomes and decisions

• Excellent verbal and written communication

• Able to articulate and present findings and insights to senior leadership

• Strong attention to detail

• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

• Advanced Degree

• Expertise in data mining, forecasting, simulation, and/or predictive modeling

• Preferred technologies such as SAS, SQL, Python, QlikView, Tableau, Hadoop or similar tools

Additional Information

You must be authorized to work in the US without Humana sponsorship as Humana does not provide work visa sponsorship for this role.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information

Social Security Task:

Alert: Humana values personal identity protection.  Please be aware that applicants being considered for an interview will be asked to provide a social security number, if it is not already on file.  When required, an email will be sent from Humana@myworkday.com with instructions to add the information into the application at Humana’s secure website.  

HireVue Statement

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

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 ge