VIE - Data Analyst (Operations / Performance & Continuous Improvement) F/H

KEOLIS limited; Newcastle City Council; Hybrid; AUD 60,000 - 90,000; Full time

Job summary

Keolis Hunter in Newcastle, NSW seeks a Data Analyst (Operations / Performance & Continuous Improvement) to join our team and transform raw data into actionable insights. You will build robust dashboards and KPIs across multiple transport modes and contribute to performance reporting under TfNSW contracts.

The role requires a Master’s degree in data/analytics, fluent English, and hands-on experience with SQL, Excel and Power BI; basic Python/R is a plus.

Qualifications

• Master’s level degree in data/analytics, statistics, transport engineering or information systems.
• Fluent (minimum C1) – work environment 100% English-speaking.
• Initial experience in data analysis, business intelligence or continuous improvement; internships or first jobs acceptable for VIE eligibility.

Responsibilities

• Turn raw data into actionable analyses for operations across multiple transport modes (bus, tram, ferry).
• Build dashboards and KPIs from heterogeneous data systems (GPS/AVL, schedules, customer feedback).
• Identify continuous improvement levers (congestion, service regularity, delivery rate) under contract with TfNSW.
• Collaborate with operations, planning and quality teams to communicate results to non-technical stakeholders.

Skills

Fluent English

Analytical thinking

Autonomy

Interpersonal skills

Education

Master's degree in data/analytics or related field

Tools

SQL

Python

Power BI

Excel

Job description

VIE - Data Analyst (Operations / Performance & Continuous Improvement) F/H

Date: 8 sept. 2026

Newcastle, AU, 2300

Filiale: Keolis SA

Data Analyst (Operations / Performance & Continuous Improvement)

About the team :

In which department/team will the VIE be integrated?
The VIE will join either the Operations team or the new Performance & Continuous Improvement function at Keolis Hunter, the private operator of buses, tram (light rail) and ferries in Greater Newcastle (NSW), under contract with Transport for NSW (TfNSW). The exact assignment will depend on the selected profile and current priorities.

What are the team’s main challenges?

• Securing and exploiting operational data (punctuality, regularity, load, incidents) across several modes (bus, tram, ferry) to manage contractual performance with TfNSW.
• Building robust dashboards and KPIs from heterogeneous data systems (GPS/AVL, schedules, customer complaints).
• Identifying continuous improvement levers (congestion hotspots, service regularity, service delivery rate) in a context of contract renewal and public scrutiny of operator performance.
• Professionalising a Performance & Continuous Improvement function that is still relatively new within the company.

Team description and member roles :

• Operations Director (Ops Director): oversees day-to-day bus/tram/ferry operations, manages driving staff and depots.
• Performance Manager: leads the performance and continuous improvement approach, acts as the interface with TfNSW on contractual KPIs.
• Support teams: service planning, quality control, customer relations.
• The VIE will work directly with these managers to turn raw data into actionable analyses.

Profile sought :

Criteria

Recommendation

Degree

Master’s level (engineering school, business school or university master’s) with a specialisation in data/analytics, statistics, transport engineering or information systems

Fluent (minimum C1) — work environment 100% English-speaking

Desired experience

Initial experience in data analysis, business intelligence or continuous improvement — internships, apprenticeships, or first job(s) for candidates who already have professional experience (as the VIE can be held up to age 28, experience beyond internships is welcome); an interest in the transport/mobility sector is a plus but not mandatory

Technical skills

SQL, advanced Excel, Power BI or equivalent; basic knowledge of Python/R appreciated; ability to structure and secure data from multiple sources

Tools/software used in the role

SQL, Python, Power BI, advanced Excel

Other information

Autonomy, strong analytical rigor, good interpersonal skills to work with field operations teams (drivers, depot managers); ability to make data results accessible to non-technical audiences