Associate/Sr Associate Technical Data Consultant (Wellington Office OR Auckland Office)

(This position is Associate or Sr Associate depending on candidate experience)

※MUST BE A NEW ZEALAND CITIZEN TO APPLY

Nice to meet you!

We’re a leader in data and AI. 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

We believe that great ideas can come from anywhere. We build software for the world's most talented thinkers, which means that we need to push boundaries daily. At SAS, you’ll be encouraged to use your imagination and constantly try new things.

We are looking for a Technical Data Consultant to be responsible for the design, development, enhancement and support of Data Warehouse Extract/ Transform/Load applications. The ideal candidate for this position should possess analytical and problem-solving skills in the areas of data capture and integration and possess attention to detail and good communication skills. You will provide consulting and implementation services including requirements gathering, analysis, solution development, knowledge transfer and project closeout both off and on customer site and ensure the high levels of customer satisfaction.

Required Qualifications:

• New Zealand Citizen (due to client requirements)
• Bachelor’s degree preferably in Business, Computer Science or related field
• 2 years relevant working experience with an in-depth knowledge of data warehousing concepts and technologies. (New graduates welcome with internship experience)
• Knowledgeable in designing and developing the ETL processes. Must have experience in design, development, and implementation of DW/BI solutions (DI Studio, DataStage, Wherescape RED, Informatica)
• Data Modelling Knowledge, preferably dimensional modelling, including Data lake concepts
• SQL Knowledge

Preferred Qualifications:

• Comfortable in Unix/Linux
• Cloud platform knowledge (e.g. AWS, Azure)
• Solution Implementation experience

• Well developed written and verbal communication skills.
• Strong teamwork and client service skills.

Role and Responsibility:

• Provide your knowledge in data management (including data warehousing and ETL) to on-going project implementation and consulting.
• Perform ETL development activities using SAS Data Integration, DataStage, Wherescape RED, Informatica, PL/SQL, Oracle Database tuning, SQL tuning, etc.
• Apply analytics techniques – machine learning, dimensional data modelling, data mining, etc.
• Provide data analysis to support new project definition/design as well as to troubleshoot/resolve issues with existing subject areas.
• Maintain a high volume, multi-terabyte data warehouse application.
• Provide guidance to project teams, developers and other architects.
• Conduct unit tests and assist in test preparations to ensure data integrity, data quality and program quality.
• Provide project status and progress updates to Management team and work closely with Advisor, Business Analysts, and other Developers.

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   

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 Recruitingsupport@sas.com.  

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