Data Modeler

About IDP

IDP is the global leader in international education services, delivering global success to students, test takers and our partners, through trusted human relationships, digital technology and customer research. An Australian-listed company, we operate in more than 50 countries around the world.

Our team is comprised of over 7,000 people of various nationalities, ages and cultural backgrounds. Proudly customer-first, our expert people are powered by global technology. Together, we offer unmatched services, helping local dreams become realities, all over the world.

Learn more at www.careers.idp.com

Role purpose

In this role you will be collaborating with IDP’s Data Engineering and Governance, an enterprise capability team and be responsible for

• Analyzing and translating business needs into long-term solution data models.
• evaluating existing data systems.
• Working with the development team to create conceptual data models and data flows.
• Developing best practices for data coding to ensure consistency within the system.
• reviewing modifications of existing systems for cross-compatibility.
• Implementing data strategies and developing physical data models.
• updating and optimizing local and metadata models.
• evaluating implemented data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Work with product owners, data scientists, data engineers, data analysts, and software developers, incl. architects, to efficiently build data models in line with IDP’s data vision. 
• Prepare and maintain training material and SOPs, knowledge base articles, and technical documentation.
   

Key accountabilities

Required experience

Here’s what we’re looking for:

•Bachelor’s degree in Computer Science / Statistics
•5 -8 years+ experience of machine-learning in production with evidence of successful delivery and overall, 10+ years IT experience.
•Expert knowledge of metadata management and related tools.
•Knowledge of mathematical foundations and statistical analysis.
•Strong interpersonal skills.
•Excellent communication and presentation skills.
•Advanced troubleshooting skills.
•Able to effectively present information, gain feedback and respond to questions from groups of senior leaders, stakeholders, and customers.
•Comfortable with working with multiple stakeholders in a multi-cultural environment
•Any Data Modelling certification is desirable.