In conjunction with our client, and our commitment to achieving a diverse workforce, we strongly encourage applications from Females, Aboriginal and Torres Strait Islander people. Hays are an equal opportunity employer and working in accordance with our client to achieve equality under the Equal Opportunity Act 1984 WA Legislation (section 13).
Your new company
Our client is among the world’s top producers of major commodities including iron ore, metallurgical coal, copper, and uranium. They extract and process minerals, oil and gas from its production operations located primarily in Australia and the Americas.
Your new role
You will join a team of data scientists and data analysts using structured approaches to optimise equipment maintenance strategies. You will work closely with project leads and subject matter experts to discover opportunities and design solutions using data-driven techniques.
What you'll need to succeed
This exciting new position needs a self-starter who is passionate about data. You’ll be a problem solver with very good stakeholder engagement and communication skills. You will have:
- A tertiary degree in a quantitative field
- Experience in Python and SQL
- Visualisation skills preferably in PowerBI with an ability to tell a story with data
- Experience of developing and deploying predictive models and statistical modelling experience is highly regarded
- SAP knowledge and experience in asset management, equipment maintenance or heavy industry is preferred
What you'll get in return
Exciting opportunity to work on global projects. You will have an ongoing work and flexible work arrangements. This role will pay $650-750 per day plus superannuation.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV or call Abhinav Sharma at 08 7221 4189 or email Karl Edgar at karl.edgar@hays.com.au
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career
LHS 297508 #2687527