Data Analyst 2

Remote US

Become a part of our caring community and help us put health first
 The Informaticist 2 coordinates with other analytics, IT and business areas across the organization to ensure work is completed with insights from knowledge SMEs. The Informaticist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

The Informaticist 2 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. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.

Humana is seeking an Informaticist 2/Data Analyst in order to support medication adherence initiatives by developing and implementing medication adherence methodologies in SAS and using this data to analyze and identify populations.

This person will be developing systems, performing analysis, creating reports, and presenting results for initiatives including our Medicare and Medicaid programs, our trend management efforts and more. Individuals who enjoy transforming data into information will be successful in this role.


Use your skills to make an impact
 

Required Qualifications

  • Bachelor's degree
  • 2 - 5 years of data analysis experience
  • Ability to use appropriate problem solving, research and analysis tools
  • Proficient coding in languages like SAS, Python, and/or C++.
  • Experience with data mining, predictive modeling techniques and using data to drive business outcomes and decisions
  • Strong attention to detail
  • Comprehensive knowledge of all Microsoft Office applications
  • Excellent written and verbal communication
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

  • Advanced Degree
  • Six Sigma certification
  • Preferred technologies such as SAS, R, Python, QlikView, Tableau, Hadoop or similar tools

Additional Information

  • Location: Louisville, KY
  • Interview Format:  As part of our hiring process for this opportunity, we will be using an exciting interviewing technology called Montage Voice to enhance our hiring and decision-making ability. Montage Voice 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. 
  • If you are selected for a first round interview, you will receive an email correspondence (please be sure to check your spam or junk folders often to ensure communication isn’t missed) inviting you to participate in a Montage Voice interview. In this interview, you will listen to a set of interview questions over your phone and you will provide recorded responses to each question. You should anticipate this interview to take about 15 to 20 minutes. Your recorded interview will be reviewed and you will subsequently be informed if you will be moving forward to next round of interviews. 

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 decisions will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.


 

$65,000 - $89,500 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.
About us
 Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.


Equal Opportunity Employer

It is the policy of  Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of  Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

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Tags: Data analysis Data Mining Hadoop Predictive modeling Python QlikView R Research SAS Tableau

Perks/benefits: Career development Competitive pay Health care Insurance Medical leave Parental leave Salary bonus Wellness

Regions: Remote/Anywhere North America
Country: United States
Job stats:  28  11  0
Category: Analyst Jobs

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