Analyst - Product Analytics

Who is Quantium?

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.

Who is Quantium?

Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world’s largest corporations to forge a better, more intelligent world.

We’re ALL in on AI — transforming ourselves into an AI-native organisation while helping our clients do the same. With 23 years of domain expertise, proprietary data partnerships, and industry-leading AI adoption (90% weekly active usage).

The Product Analytics team has embraced AI-native ways of working across our analytical workflows, and we’re now moving from adoption to transformation — systematically advancing our analytical assets through an agentic maturity framework we designed ourselves.

Our team operates across three domains:

• Retail Products — Building and operating Quantium’s global flagship analytics products including Q.Checkout and Q.Scan
• AI Client — Embedding with clients to deliver transformational AI programmes, bringing Quantium’s analytics and AI capability directly into partner organisations
• AI Enablement — Rethinking how we operate as an analytics function, driving the tools, frameworks, and practices that make AI-native delivery the default

As an Analyst, you’ll be a collaborative technical contributor working within cross-functional teams alongside Product Leads, Delivery Managers, and engineers across Australia, India, the UK, and North America. You’ll build your foundations in data science, Python, and SQL while learning to combine them with AI tools that are central to how the team operates. This isn’t a team where AI is a side interest — it’s how we work.

How You’ll Create Impact

• Build analytical solutions using AI-native workflows, learning to move from simple AI assistance through to more sophisticated agentic approaches
• Contribute to progressing analytical assets and workflows along the team’s agentic maturity framework, with guidance from senior team members
• Develop the skill of critically evaluating AI-generated outputs — learning when to trust, refine, or override
• Use AI tools daily to enhance your analytical workflows and support team productivity
• Work with data extraction, cleaning, and quality assessment across datasets using cloud platforms (GCP, BigQuery) and modern data tools
• Apply data science methods including feature engineering, model development, and testing with attention to quality
• Create specifications for analytics work that engineering teams can implement
• Develop approaches that can be scaled and reused across different business challenges
• Contribute to product development, day-to-day operations, and continuous improvement of team processes and methods

The Superpowers You’ll Be Bringing To The Team

Technical foundation: Solid Python and SQL skills with an understanding of data science fundamentals — data preparation, modelling approaches, and validation — and a willingness to keep developing your craft.

AI curiosity: Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in your work or studies — or genuine enthusiasm and a clear willingness to learn. You’re open to working in a team where AI-native methods are the default.

Analytical thinking: A systematic approach to problem-solving with the ability to understand business needs and translate them into technical approaches — and to make the complex simple.

Collaborative spirit: Good communication skills for working with diverse teams across different locations and time zones, with the self-awareness to work independently while knowing when to ask for support.

Required Experience And Capabilities

• 1–5 years of experience in data science, analytics, or similar technical roles
• Solid experience with Python and SQL for data analysis and manipulation
• Experience working with Google Cloud Platform (GCP) or similar cloud technologies
• Understanding of data science fundamentals: data preparation, modelling approaches, and validation methods
• Familiarity with version control and documentation practices
• Experience using AI tools (Claude, ChatGPT, GitHub Copilot, or similar) in your work or studies — or genuine enthusiasm and a clear willingness to learn
• Strong analytical thinking and a systematic approach to problem-solving
• Good collaboration skills for working with diverse teams across different locations and cultures
• Degree in a quantitative field such as engineering, mathematics, statistics, computer science, physics, or a related discipline — or equivalent demonstrated capability

Highly beneficial

• Experience building or experimenting with AI-assisted workflows or prompt engineering

What Could Your Quantium Experience Look Like?

Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigour, precision and by asking great questions — but it also means you can think big, outside the box and push your problem-solving skills to the max.

By joining the Quantium team, you’ll get to:

Forge your path: So many of our team have moved around different teams or offices. You’ll be in the driver’s seat, and we empower you to make your career your own.

Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners).

Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank.

Benefits

On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include:

Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements.

Global mobility: As we expand globally, there are lots of exciting opportunities to work abroad with Quantium.

Remote working: Embrace the opportunity to work outside of your assigned home location for up to 2 months every year.

Apply now and let’s forge a better, more intelligent world together!

Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.