Are you an emerging technologist interested in solving complex business problems? Would you like to be paid to attend an in-person training in Cary, North Carolina USA to learn innovative technologies like cloud infrastructures and big data analysis?
If so, this is the opportunity for you!
The SAS Customer Advisory Academy is a 10-week global training program where you will be paid to learn SAS’ technologies and solutions specifically addressing the different cloud infrastructures, including AWS, Google, Azure, Dockers and Kubernetes.
You will receive training in SAS advanced analytics, data management and visualization, as well as learn consultative skills and methodology, product positioning and business practices ensuring you are well-equipped with the necessary skills to succeed.
The training will take place both virtually and at SAS World Headquarters in Cary, North Carolina USA. Candidates hired for this position will participate in the training program beginning in or August 2020.
Upon graduation from the Academy, you will begin a role as an Associate System Engieneer where you will provide technical assistance for software pre-sale and / or post-sale activities utilizing you the skills acquired during training, along with your knowledge of industry segment processes and challenges to do the following :
Primary Responsibilities include but are not limited to :
Provides timely, professional and quality delivery outputs on assigned projects, leveraging expertise in the application of specific SAS technologies, solutions, methodologies, and project experiences.
Understands, utilizes and communicates best practice methodologies and industry standards internally and externally.
Leverages detailed technical knowledge to support sales opportunities and implementations across solution domains including Proof of Concept and solution demonstrations.
Installs SAS software solutions and any required supporting products for knowledge sharing and demonstration purposes as assigned.
Contributes to detailed technical documentation as required, such as requirements, design, administration and user guides.
Participates in product and solution training to acquire and maintain a detailed level of product knowledge of core components of SAS offerings.
Works and collaborates with others on consulting projects and special projects as assigned.
May conduct customer sessions for requirements gathering, data discovery, analysis, reporting and presentation.
May lead knowledge transfer sessions internall and / or with customers.
Bachelor’s degree, preferably in Computer Science, Statistics, Mathematics, Management Information Systems, Engineering, or another related quantitative field.
Experience in programming with open source languages such as R, Python, and Lua.
Strong analytical, technical and problem-solving skills.
Academic projects or work experience in information technology, engineering, and / or business analysis.
Significant project and / or internship experience demonstrating individual and team work abilities.
Candidates must be willing to work in Cary, NC, USA for the duration of the Academy program.
Ability to travel up to 30-40% or as business needs dictate.
Strong written and verbal English language communication skills and fluency.
Strong academic performance.
Experience with cloud software or cloud computing such as Amazon Web Services, Google Cloud Platform or Microsoft Azure.
Familiarity with Linux.
Experience in programming with SAS.
Excellent written and oral communication, analytical, problem solving and interpersonal skills, including the ability to communicate and present to users from various technical backgrounds.
Demonstrate good judgement in selecting methods and techniques for obtaining solutions.
Ability to understand customer pain points and recommend SAS products / solutions that address those areas.
Self-motivated and able to work under pressure.
Public speaking experience.
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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.
Check out our #Data4Good efforts to see how we’re using our analytics capabilities to solve humanitarian issues around poverty, health, human rights, education and the environment.