Asset and Optimisation Analyst

Service Stream; City of Melbourne; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Career development opportunities

Discounts for brands and services

Paid leave options

Culture of safety, diversity and good)

Job summary

Service Stream is seeking a data analytics‑oriented professional to support the Asset & Optimisation team in Melbourne. The role focuses on standardising technology and data practices, converting asset data into actionable insights, and supporting AI-driven solutions to strengthen asset management decisions.

You will develop dashboards, enhance data quality, and work across governance and validation to enable better lifecycle planning and investment decisions.

Qualifications

• Experience converting asset or operational data into decision-ready insights (civil infrastructure or similar).
• Knowledge of data lifecycle, data quality, governance and visualisation.
• Experience supporting AI, machine-learning, predictive analytics or intelligent automation initiatives is desirable.
• Experience with enterprise asset management or work management systems.

Responsibilities

• Standardise technology, data and analytical practices and improve information quality.
• Convert asset and maintenance data into actionable insights; develop dashboards and decision-support tools.
• Improve data quality and adoption; establish quality measures and support pilots and improvement initiatives.
• Identify and implement AI-driven use cases; promote responsible AI governance and foster learning and innovation.

Skills

Data analysis

AI concepts interest

Asset management

Data governance

Problem solving

Education

Engineering, Asset Management, Data Analytics, Information Systems, Business or related discipline

Tools

Power BI

SQL

Python

QGIS

Power Platform

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

About the role

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.

Our 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/or 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 [e-mail].

Department

GBIS