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Customer Analytics Applications Lead

Transport For NSW -
Macquarie Park NSW

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Job Details

Permanent | Full-time
$158,393 - $177,399 a year
12 days ago

Qualifications

Full Job Description

Customer Analytics Applications Lead

Organisation/Entity: Transport For NSW

Job category: Projects

Job location: Macquarie Park, NSW, AU, 2113

Job reference number: 106375

Employment type: Permanent Full-Time

Salary range: $158393.0-$177399.0

You see the big picture, you’ve always worked on a grand scale, and now you’re ready to re-focus on grand impact.

Here's your chance to design and deliver efficient, customer-focused services that also enhance accessibility, sustainability and overall quality of living for more people than you've imagined.

In this role, you'll:

Working as part of a team delivering the vision, architecture, and delivery of interactive, web‑based analytics applications that extend beyond traditional BI tools, enabling advanced data exploration, scalable user‑centric visualisations, and improved self‑service analytics across the customer analytics ecosystem.

This role will see you design and deliver custom analytics applications, define and lead technical strategy and roadmaps, build scalable and secure analytical tools, partner with business stakeholders to capture requirements, optimise data integration with cloud environments, monitor application performance, and drive user adoption through training and documentation, with development opportunities in advanced Python development, cloud analytics integration, product lifecycle management, and innovation in custom analytics applications.

You will build new ways of enabling scalable, high‑performance analytics applications and improving self‑service capability in a matrixed, multi‑data‑source environment requiring secure integration across BI ecosystems, user adoption across diverse stakeholder groups, and balancing innovation with data integrity, performance and operational expectations.

For more information on this position and business unit, view the role description and information pack.

About you

Your strong proficiency in Python, visualisation frameworks, SQL, cloud analytics technologies, and data visualisation design formed across analytics development, data engineering environments, cloud‑based analytics, and complex organisational ecosystems will see you excel in integrating multiple data sources, overcoming challenges related to stakeholder adoption and secure performance, and bringing robust development standards, scalable architectures and best‑practice application design to lead to high‑value analytics applications, improved decision‑making and enhanced customer insights.

You’re recognized as an adept communicator and collaborative problem‑solver, skilled at explaining complex concepts, building interactive applications, and applying critical‑thinking techniques, experienced in Python development, cloud data integration, interactive visualisation design, performance optimisation, and supporting user adoption across diverse teams.

Who we are

Transport for NSW provides a safe, integrated, and efficient transport system. We connect people, communities and industry every day.

Join us

Our workforce is as diverse as the community we serve. If you’d like further information on our inclusion and diversity initiatives, visit Transport careers.

Flexible work options may be available. Learn more via Flexible work options and policy

Apply today

Applications close 11:59 PM Monday 15 June, 2026.

For more information about this role, please contact [email protected].

Aboriginal people and people living with disability are supported throughout the recruitment process and at work, and we encourage you to apply. Visit Supporting Aboriginal People or Supporting People with Disability for more information or speak to your talent team member to arrange any adjustments to how you interact with us.

Learn more about how to apply via Our recruitment process | Transport for NSW

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python developer jobs in rozelle nsw

Customer Analytics Applications Lead

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