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Entry-Level Solutions Advisor - Fraud and Security Intelligence

Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?”
 
If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences or answering critical questions. Curiosity is our code, and the opportunities here are endless.
 
What we do 
We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.
 
What you’ll do
As an Associate Solutions Advisor within the SAS Fraud and Security Intelligence division, you will work with a talented team of other Solutions Architects and Industry Consultants to apply SAS products and solutions to address specific customer problem sets in the areas of fraud and financial crimes detection and prevention. You will work closely with customers, generally in a pre-sales capacity, to understand their challenges and objectives and craft innovative solutions that convince the customer to choose SAS as their solution provider. You will have the opportunity to collaborate across many divisions of the company to develop and share new ideas, techniques, and approaches to help solve real world customer problems and enhance the customer experience.
 
To prepare you for an opportunity within SAS Fraud Security and Intelligence, SAS invests in your curiosity by providing you a multi-week intensive technical training program. In addition to providing soft skills training, the Technical Enablement Academy provides training in core SAS technology areas. During the Technical Enablement Academy, key stakeholders provide guidance, coaching and expert feedback. You will also have an opportunity to achieve multiple professional SAS certifications.
 




What we're looking for

  • Bachelor’s degree, preferable in Computer Science, Computer Engineering, Mathematics, Statistics, Economics or other related quantitative field
  • Academic or work experience with SAS, Python or programming in a third or fourth generation language
  • Significant project and/or internship experience demonstrating individual and team work abilities
  • Excellent problem solving, analytical and diagnostic skills
  • Excellent written and verbal communication skills, analytical, problem solving and interpersonal skills, including the ability to communicate with customers with various technical backgrounds
  • Organizational skills for managing commitments, schedules, and deadlines
 
The nice to haves
  • Work or academic experience in technology areas such as business application development, client/server, data warehousing, database management systems, data presentation, and visualization, or web applications and services
  • Public speaking experience such as presenting papers or classroom teaching
  • Experience with cloud platforms and container technologies – Amazon AWS, Microsoft Azure, Docker, Kubernetes, OpenStack
  • Experience with architecture, deployment, and configuration of enterprise class applications
  • Demonstrated experience applying data analytics to solve real world problems
 
Travel Requirement
The average travel is around 30%
 
Additional Information
  • This is an entry-level position
  • Location: US
Why SAS
We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference. Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.



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 are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the LawAlso view the supplement EEO is the Lawand the Pay Transparency notice. 
 
Equivalent combination of education, training and experience may be considered in place of the above qualifications. 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.