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Service Stream

Asset and Optimisation Analyst

Service Stream

. Support the Asset & Optimisation team in the Transport division .

Posted 10/12/2026full-timeMelbourne • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, asset management, and digital delivery, with a strong focus on improving data quality and governance. Proficient in developing decision-support tools and dashboards while promoting responsible AI governance and continuous improvement in asset management.

Highest-signal resume keywords
Data AnalysisAsset ManagementAI ConceptsPower BISQL

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data QualityData ValidationPredictive AnalyticsMachine LearningData LifecycleData GovernanceDecision-Support ToolsData CleansingRisk-Based PrioritisationVisualisation
Soft Skills
Continuous ImprovementKnowledge SharingInnovation
Tools & Technologies
Power BISQLPythonQGISPower PlatformCloud Data
Certifications & Qualifications
Tertiary Qualification in EngineeringAsset ManagementData AnalyticsInformation SystemsBusiness
Industry Keywords
Civil InfrastructureConstructionUtilitiesField-Service EnvironmentsISO 55001

Tech Stack

Tools & technologies
CloudPythonSQL

About the role

Key responsibilities & impact
  • Support the Asset & Optimisation team in the Transport division
  • Support execution of technology and data initiatives for the ‘Future Fit 28’ strategy
  • Standardise technology, data and analytical practices
  • Define data requirements and improve data quality and validation
  • Align projects with common Transport technology and data standards
  • Document end-to-end processes, data ownership, controls and information flows
  • Analyse asset and maintenance data to identify performance, condition, risk and cost trends
  • Develop dashboards and decision-support tools
  • Support lifecycle planning, maintenance prioritisation, future investment programs and benchmarking
  • Cleanse and validate datasets and address root-cause data issues with data owners
  • Establish measures for data quality and adoption
  • Support pilots and continuous improvement initiatives
  • Identify and implement practical AI use cases
  • Contribute to analytics and automation tools
  • Promote responsible AI governance
  • Drive innovation through learning, knowledge sharing and continuous improvement across asset management and operational decision-making

Requirements

What you’ll need
  • Experience in data analysis, business analysis, asset management, digital delivery or operational improvement
  • Experience converting asset or operational data into decision-ready insights, ideally within civil infrastructure, construction, utilities or similar field-service environments
  • Knowledge of data lifecycle, data quality, governance and visualisation
  • Working knowledge of AI concepts
  • Experience supporting AI, machine-learning, predictive analytics or intelligent automation initiatives would be highly desirable
  • Enterprise asset management or work management system experience
  • Exposure to Power BI, SQL, Python, QGIS, Power Platform or cloud data
  • Understanding of ISO 55001, lifecycle planning and risk-based prioritisation
  • Tertiary qualification in Engineering, Asset Management, Data Analytics, Information Systems, Business or a related discipline, or equivalent experience
  • Strong interest in AI and ability to question how processes can be improved

Benefits

Comp & perks
  • Hybrid working and genuine consideration of flexibility requests
  • Career development and growth opportunities
  • Internal mobility support
  • Access to skill enhancement through an online learning system
  • Discounts for hundreds of businesses including Woolworths, Air BNB, The Iconic, JB HI-FI, Dan Murphys, Bupa Health Care, and Specsavers
  • Novated leasing
  • Share matching program
  • Paid parental leave
  • Paid cultural leave
  • Paid community service leave
  • Paid defence leave
  • Paid study leave
  • Corporate volunteering leave
  • Purchased leave
  • Workplace culture focused on safety, diversity, inclusion, and meaningful recognition