Asset and Optimisation Analyst

servicestream; Melbourne; Hybrid; AUD 100,000 - 140,000; Full time

Benefits offered by this job

Hybrid working

Career development

Discounts & perks

Job summary

Service Stream is seeking an Asset and Optimisation Analyst to join the Transport division. The role focuses on standardising data practices, turning asset data into actionable insights and supporting AI-enabled analytics for better asset management and investment decisions.

You will work with a nationally dispersed team, with a hybrid work model and opportunities for career development and broad exposure to data initiatives across essential services networks.

Qualifications

• Experience turning asset/operational data into decision-ready insights.
• Knowledge of data lifecycle, quality, governance and visualization.
• Experience with AI concepts or analytics initiatives is advantageous.

Responsibilities

• Standardise data and analytics practices across the Transport division.
• Convert asset data into dashboards and decision-support tools.
• Support data quality, validation and ongoing governance.
• Assist with AI-driven use cases and innovative analytics projects.

Skills

Power BI

SQL

Python

QGIS

Power Platform

Data governance

Education

Engineering degree

Data Analytics or Information Systems

Tools

Cloud data exposure

Job description

Primary Location

VIC - Melbourne - 655 Collins St

Job Description Summary

Supports the Asset & Optimisation team in our Transport division in this newly created role.

About the Role

We have a newly created opportunity for an Asset and Optimisation Analyst to join our growing ASX-listed company. You will support our Transport division and the execution of our technology and data initiatives for our 'Future Fit 28' strategy. Our team is nationally dispersed, and we are open to having this role based out of our offices including Melbourne and Fortitude Valley.

In this role you will standardises technology, data and analytical practices, improve information quality and accessibility, and convert asset and operational data into actionable insights. You will also support the responsible exploration, development and adoption of artificial intelligence solutions that strengthen asset management, operational and investment decisions.

Your key responsibilities will include:

• Technology and data standardisation - establish and embed consistent data standards, governance and analytical practices by defining data requirements, improving data quality and validation, aligning projects to common Transport technology and data standards, and documenting end-to-end processes, data ownership, controls and information flows.
• Asset and operational insights - convert complex asset and maintenance data into actionable insights by analysing performance, condition, risk and cost trends, developing dashboards and decision-support tools, and supporting lifecycle planning, maintenance prioritisation, future investment programs and benchmarking.
• Data quality and value realisation - improve data quality and business outcomes by cleansing and validating datasets, addressing root-cause issues with data owners, establishing measures for quality and adoption, and supporting pilots and continuous improvement initiatives to scale successful solutions.
• Artificial intelligence support and development - support the adoption of AI-driven solutions by identifying and implementing practical use cases, contributing to the development of analytics and automation tools, promoting responsible AI governance, and driving innovation through ongoing learning, knowledge sharing and continuous improvement across asset management and operational decision-making.

About you

You have experience in data analysis, business analysis, asset management, digital delivery or operational improvement. You have a strong interest in AI and can question how we can do things better.

Ideal candidate may have:

• Experience converting asset or operational data into decision-ready insights (ideally within a civil infrastructure, construction, utilities or similar field-service environment).
• 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.
• Power BI, SQL, Python, QGIS, Power Platform or cloud data exposure.
• Understanding of ISO 55001, lifecycle planning and risk-based prioritisation.
• Tertiary qualification in Engineering, Asset Management, Data Analytics, Information Systems, Business or related discipline, or equivalent experience.

About us

Service Stream is an equal opportunity ASX-listed business that develops and operates Australia's essential services networks across telecommunications, utilities, transport, defence, and social infrastructure industries - we keep communities connected.

Your next role comes with:

• Flexibility - all flexibility requests are genuinely considered. This role offers hybrid working.
• Career development - we offer growth opportunities and support internal mobility. You will also have access to skill enhancement through our online learning system.
• Access - discounts for hundreds of businesses such as Woolworths, Air BNB, The Iconic, JB HI-FI, Dan Murphys, Bupa Health Care, and Specsavers. We also offer access to novated leasing and a share matching program.
• Paid leave - parental, cultural, community service, defence, study, corporate volunteering and purchased leave available.
• Culture - we are dedicated to fostering a workplace environment that values safety, diversity and inclusion, and meaningful recognition.

We celebrate diversity at Service Stream and welcome applications from people who identify as Aboriginal and/o Torres Strait Islander, people with a disability or neurodivergence, and those from LGBTIQA+, Veteran or other diverse groups. If you require any reasonable adjustments to the recruitment process, please email talent.transport@servic