SAS

Analytical Consultant / Data Scientist - Advanced Analytics

US-NC-Cary
Requisition ID
20018366
Category
Consulting
Visa Sponsorship
No
Travel Requirements
25%

Overview

Germany SAS

 

SAS believes in the whole employee experience. Meaningful work. Empowerment to make a difference that changes people’s lives. Dynamic work environments that foster innovation. And an award-winning culture that makes it all possible. We believe great ideas can come from anywhere. Whether you're a university recruit, or an experienced professional ready for the next big challenge, SAS brings perks, passion, and the potential to grow. No limits.

 

We help organizations turn large amounts of data into knowledge they can use, and we do it better than anyone. It’s no wonder an overwhelming majority of our customers continue to use SAS every year. It’s because we hire the best people to create great software and services.


 

We are currently looking to fill multiple roles due to new engagements and growth within SAS Solutions OnDemand. The below opportunity is open to all levels of experience from junior to senior level Analysts. The posting below reflects minimum qualifications. Level will be determined during interviews.

 

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.

 

Essential Requirements:

  • Master's degree in statistics, mathematics, computer science, operations research, or a related quantitative field 
  • At least 2 years of experience in data analysis or analytical consulting 
  • At least 1 year of experience programming in the SAS System

Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.

 

Additional Knoweledge and Aptitude:

  • 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 
  • Ability to travel as business requirements dictate, up to 25%

Preferred Experience:

  • Ph.D. degree in statistics, mathematics, computer science, operations research, or a related quantitative field 
  • Experience with analytic approaches related to fraud detection 
  • Experience in health insurance industry 
  • Willing to relocate or currently located in the Cary, NC 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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