Company

Sas InstituteSee more

addressAddressSydney, NSW
salary SalaryPermanent
CategoryEngineering

Job description

Associate Systems Engineer (Early Career)Nice to meet you!We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here.What we do:You'll be part of the SAS Global Technology Practice, a team that spans the globe, leading the way in technology, establishing best practices, and supporting our clients and sales teams. From cloud solutions to the latest in AI, including Generative AI, our work is at the heart of what makes SAS a leader in analytics.Your Role:This position calls for individuals with a knack for analytical thinking, problem-solving, and open-source software. You’ll manage various projects and collaborate across teams, helping to drive sales and ensure customer success. Your role is pivotal in sharing insights across the company, directly influencing product management and sales strategies.Successful candidates for this role will have hands on experience on cloud services, experience in the analytics lifecycle, excellent communication skills, and a desire to constantly learn and stretch themselves.Great Fit for You If:

  • You’re a recent graduate or have up to 5 years of experience and hold a degree in Computer Science, Mathematics, Sciences, or a related field.
  • You excel in communication and have a basic understanding of cloud platforms like Azure, AWS, or GCP.
  • You’re skilled in programming, particularly Python, and have a portfolio to show for it (GitHub links are great!).
  • You’ve dabbled in Generative AI projects and are eager to dive deeper.
  • You’re a problem-solver, organized, and have a knack for making complex ideas accessible to all.
  • You value independence but thrive in teamwork.
  • You embody curiosity, passion, authenticity, and accountability. These are our
and influence everything we do.What You’ll Do:
  • Dive deep into SAS Viya, open-source, cloud, AI, and analytics through our comprehensive training and resources.
  • Create prototypes and demos, demonstrating the power of our technologies alongside SAS Viya in sales scenarios.
  • Simplify technical concepts for broader audiences and strategize with sales teams to meet customer needs.
  • Deliver impactful presentations and support in business development and marketing initiatives.
  • Collaborate across teams for sales strategies and knowledge sharing.
Extra Qualities We Love:
  • Familiarity with analytics-focused open-source languages (Python, R, Julia).
  • Expertise in Machine Learning, Generative AI, Large Language Models, or Natural Language Processing.
What Awaits You:SAS is committed to nurturing your curiosity through our Technical Enablement Academy. This intensive training program will arm you with SAS certifications and deep knowledge of our software and best practices. You’ll gain from the guidance of key stakeholders and a personal SAS mentor, ensuring your professional growth in an award-winning environment. Expect to work on innovative analytics solutions and make a significant impact on our key customers regionally.Jumpstart your career with us and help shape the future of analytics!Diverse and Inclusive:At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.Additional Information:
  • This position is based out of our Sydney or Melbourne office. You must be able to work in the Sydney or Melbourne office in a hybrid capacity.
  • To qualify, applicants must be legally authorized to work in Austalia, and should not require, now or in the future, sponsorship for employment visa status.
  • Resumes may be considered in the order they are received.
SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact#SAS
Refer code: 1902661. Sas Institute - The previous day - 2024-03-31 00:40

Sas Institute

Sydney, NSW
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