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Associate Systems Engineer – SAS Global Customer Advisory Academy
SAS technology allow its customers to achieve results in a wide range of diverse industries. From ensuring your bank account is not compromised to analyzing the data behind which drugs go to market faster, or helping with natural disasters, SAS is changing the way big data is used every day! #Data4Good
The SAS Global Customer
Academy is a paid 18 week concentrated technical program that provides training in SAS' core technology (advanced analytics, data management and visualization), consultative skills and methodology, product positioning, business practices and equips trainees with the necessary skills to succeed. As an Associate Systems Engineer, you will provide technical assistance for software presale and/or post-sale activities utilizing knowledge of industry segment processes and challenges.
Candidates hired for this position will participate in the training program at SAS' global headquarters in Cary, NC (USA) beginning July 2019.
Primary Responsibilities include but are not limited to:
Essential:
Additional:
Preferences:
Timeline:
Additional Information:
To qualify, applicants must be legally authorized to work in Australia, 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.
1,000 - 50,000 employees
R&D and Manufacturing
Data is more than just facts and figures. It tells a story – the past, the present and, potentially, the future of an organisation, an industry or eve