JOB DESCRIPTION

Remarkable people, trusted by clients to design and advance the world.

Wood is recruiting for a Data Visualisation & KPI Analyst to join our team in Docklands, Victoria, on a permanent basis.

The Data Visualisation and KPI Analyst is responsible for collecting, analysing, and presenting operational and maintenance performance data to support informed decision-making and continuous improvement. This role ensures accurate reporting of Key Performance Indicators (KPIs), develops interactive dashboards, and provides actionable insights to optimize asset reliability, maintenance efficiency, and operational excellence.

#LI-Hybrid

Designing the future. Transforming the World.

Wood is at the forefront of engineering solutions for a net zero future. Being part of Team Wood, means you're in a community unified by our vision, values and behaviours that support how we work together. So much of our success depends on feeling part of a team with people around us that we can rely on.

Our Vision: Deliver Solutions that transform the world.

Our Values: Care Courage Commitment

What we can offer

• Meaningful and interesting projects
• Flexible working arrangements
• Commitment to Diversity and Inclusion
• Competitive remuneration package
• Flexible benefits package
• Commitment to continued professional development

RESPONSIBILITIES

The key objectives for this role are:

• Collect, validate, and analyse operational and maintenance performance data from multiple sources
• Develop and maintain interactive dashboards and reports using tools such as Power BI, Tableau, or SAP Analytics Cloud
• Monitor and report on KPIs related to asset reliability, maintenance efficiency, and operational performance
• Identify trends, anomalies, and improvement opportunities through data analysis
• Collaborate with maintenance, operations, and reliability teams to define KPI requirements and reporting standards
• Ensure data accuracy and integrity across all reporting platforms
• Support continuous improvement initiatives by providing actionable insights and recommendations
• Automate reporting processes to improve efficiency and reduce manual effort
• Prepare presentations and visualisations for management and stakeholders

QUALIFICATIONS

What makes you remarkable?

At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world's most critical challenges.

Requirements:

• Minimum 5 years in data analysis, reporting, or business intelligence within an operations or maintenance environment
• Proficiency in data visualisation tools (Power BI, Tableau, SAP Analytics Cloud)
• Strong knowledge of SQL, Excel, and data modelling principles
• Familiarity with SAP PM or other CMMS systems is highly desirable
• Ability to interpret complex data sets and translate them into actionable insights
• Strong attention to detail and commitment to data accuracy
• Excellent communication and stakeholder engagement skills
• Understanding of maintenance KPIs, reliability engineering concepts, and operational performance metrics

If you're an experienced Data Visualisation & KPI Analyst, ready for your next project, then we are keen to hear from you today.

Only applicants who are Australian citizens or hold the required visa/permit to work in Australia will be considered.

Apply now and take the next step in your career with this exciting opportunity!

ABOUT US

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com

Diversity Statement

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.