BI & Analytics Engineer

About the Company

Your new company

Join a large, asset intensive enterprise in a hands on analytics and application development role supporting an established data and engineering capability.

Working alongside reliability engineers and data specialists, you’ll help turn predictive model outputs and complex operational data into practical applications and dashboards. This is a great opportunity for someone with strong technical foundations who is keen to build their experience in industrial analytics, learn a specialised platform and work closely with experienced technical teams.

About the Role

As an Analytics & BI Engineer, you will:

• Build applications and dashboards that turn complex data into useful insights for operational and business teams
• Use Python and SQL to work with model outputs, operational and time-series data
• Develop and enhance BI applications supporting asset health and maintenance decision-making
• Work closely with reliability engineers and data scientists to understand requirements and translate analytical outputs into practical solutions
• Integrate data from different enterprise systems and sources
• Develop reusable components and contribute to broader application and data development
• Learn and work with a specialised industrial analytics platform
• Participate in an iterative development environment, incorporating feedback and peer review into your work

What you'll need to succeed

• Strong Python skills and experience using SQL
• Experience developing BI applications, dashboards or other data-driven applications
• An engineering, computer science, data or similarly technical background
• Proven experience with data integration and working across multiple data sources
• Strong problem-solving skills with the ability to turn data into practical, usable solutions
• A collaborative approach, with a willingness to learn, take on feedback and iterate on your work
• Confidence working with both technical specialists and broader business stakeholders
• Experience or understanding of engineering, asset management, maintenance or reliability environments would be highly regarded, but isn't essential
• Exposure to C#/.NET or front-end technologies such as JavaScript and CSS would be advantageous
• Familiarity with semantic data models or ontology concepts would also be beneficial
• Experience with industrial data platforms, historians or data warehouses, such as AVEVA PI or Snowflake, would be advantageous
• Exposure to low-code or Industrial IoT platforms, AI/ML or time-series data would also be beneficial

What you'll get in return

• 9-month initial contract with potential for extension
• Hybrid working arrangements based in Brisbane
• Opportunity to work across analytics, engineering and application development
• Work alongside experienced data and engineering specialists
• Exposure to predictive analytics and complex operational data
• Opportunity to learn a specialised industrial analytics platform
• Develop applications and dashboards that support real operational decision-making
• Supportive, collaborative environment with opportunities to learn, develop and build your technical capability

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 us now.

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