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Analytical Consultant - Healthcare Analytics
COLUMBIA SC 29240
Category: Other
  • Your pay will be discussed at your interview

Job code: lhw-e0-88384585

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SAS Institute Inc.

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Summary

  Job posted:   Mon Apr 16, 2018
  Distance to work:   ? miles
       
  1 Views, 0 Applications  
 
Analytical Consultant - Healthcare Analytics
Location - Columbia, SC (SAS Regional Office)








Can you apply creative thinking to large data sets to solve customer business problems using SAS? Are you looking for an opportunity to utilize your analytic skills across a wide variety of industries? The SAS Advanced Analytics Lab (AAL) is seeking talented individuals to help our customers bridge the gap between the data they have and the solutions they need.





As a member of the SAS Advanced Analytics Lab (AAL), you will support customer analytic business needs through requirements gathering, data discovery, analysis, reporting, and presentation.





Your duties will include analyzing large volumes of customer data for accuracy and consistency, translating business requirements into analytic methods, building analytic models, and presenting results. Your duties will also include automating analytic processes, developing and enhancing custom software tools, assisting in quality assurance efforts for all AAL projects, and other duties as assigned.





Required experience, skills and education level:



+ Master's degree in statistics, mathematics, computer science, operations research, or a related quantitative field


+ At least 1 year of experience programming in the SAS System


+ Excellent written and verbal communication skills.


+ Ability to solve customers' complex business problems using innovative analytical processes and techniques


+ Familiarity with data mining approaches


+ Ability to communicate with people of various technical and business backgrounds, including the ability to explain difficult technical concepts in simple terms to business users.


+ Ability to work independently and with a team environment.


+ Proven record of handling increasing responsibilities



The ideal candidate will also have some or all of the below:



+ Ph.D. degree in statistics, mathematics, computer science, operations research, or a related quantitative field


+ Two (2) years of experience in data analysis or analytical consulting


+ Experience in health insurance industry


+ Experience with analytic approaches related to fraud detection


+ Willing to relocate or currently located in the Columbia, SC area






SAS looks not only for the right skills, but also for a cultural fit. We seek colleagues who will contribute to the unique culture that makes SAS such a great place to work. We look for the total candidate: technical skills, culture fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.





Additional Information:


To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.SAS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.





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Requisition ID: 20022936

Visa Sponsorship: No

Travel Requirements: 25%

External Company Name: SAS Institute Inc

External Company URL: www.sas.com

Street: 1201 Main St.

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