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Predictive Modeler/Data Mining Analyst

From:
Company: Humana (see all of this employer's jobs)
8033 North Academy Blvd 8033 North Academy Blvd
, 80920
United States

Contact: http://www.humana.com/careers
Apply by eMail:15326676.185@jobfrenzy1.com

15326676.185@jobfrenzy1.com


Apply by eMail:15326676.185@jobfrenzy1.com


Job Reference ID:  DF15326676

Category:
Accounting/Finance/Banking

Duration:  Full Time
City, ST:  Louisville, Kentucky
Country:  United States

Description:
Humana Inc., headquartered in Louisville, Kentucky, is one of the nation's largest publicly traded health benefits companies. Humana offers a diversified portfolio of health insurance products and related services - through traditional and consumer-choice plans - to employer groups, government-sponsored plans, and individuals.

Today, Humana is a leader in consumer engagement. Throughout its diversified customer portfolio, the company provides guidance that can both help lower costs and lead to a better health plan experience.

Role: Clinical Innovations Metrician
Assignment: Predictive Modeler/Data Mining Analyst
Location: Louisville, KY

Are you a fit?
Are you an analytical thinker? Would you enjoy using your mathematical knowledge to help analyze and improve current business processes and financial metrics?

Assignment Capsule
As a Predictive Modeling/ Data Mining Analyst you will perform data analysis, develop algorithms, models and computational design to implement, document and present technical information to a broad audience. You will then apply each of these tools to real client data, discussing the results of your modeling solutions with other areas of the business.

Develop and maintain a suite of predictive analytics to drive consumer engagement in Humana's clinical activities including but not limited to:
Developing statistical models &methodologies to predict, quantify, and/or forecast various business/health metrics
Ensuring and maintaining data quality and reliability
Providing expertise and assistance in implementing model results in ongoing business processes
Identify and recommend new data sources that will maximize analytic output and conclusions
Create customized reports with a team of analysts
Ensure full and clear documentation of all processes
Key Competencies
Acts Strategically: You foster a consistent understanding of strategy, translate it into defined plans, and "stay the course" to implement it, while anticipating and identifying where change is needed.
Leadership: You inspire extraordinary results by: engaging associates, valuing diversity and shaping culture to support a high performance environment.
Communication: You actively listen to others to understand their perspective and ensure continuous understanding regardless of communication channel or audience.
Innovate: You introduce new ideas and processes which improve performance and productivity.
Role Essentials
Master's Degree in Math, Statistics, Engineering or a related field
Prior statistical experience
Experience using Structured Query Language, SAS and/or SPSS
Experience building and maintaining analytic data sets
Proven ability with data mining and/or predictive modeling techniques
Proven ability to effectively communicate results of statistical models to broad audience, including senior leadership
Comprehensive knowledge of all Microsoft Office applications
Role Desirables
PhD Degree in Applied Sciences, Statistics, or Engineering
Experience with health care data, including Medicare/Medicaid
Experience with SAS Enterprise Miner
Intermediate to advanced experience with statistical analyses including propensity score matching, multivariate statistical modeling, signal detection analysis.
Computer programming experience.
Experience with large data sets and/or the analysis of patient-level healthcare
Reporting Relationships
You will report to a Manager or Director. This area is under the leadership of the SVP and Chief Operating Officer.

Requirements:
See Above

Education: Masters

Experience: More than 5 years

Travel: None


Apply by eMail:15326676.185@jobfrenzy1.com

15326676.185@jobfrenzy1.com


Apply by eMail:15326676.185@jobfrenzy1.com

Job Created: Wed Oct 14 2009 04:27:46 AM
Last Modified: Wed Oct 14 2009 04:27:46 AM


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