Senior 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, transforming, 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

This is a Senior Analyst role for someone who is analytically strong and genuinely excited about AI-native ways of working. You’ll bring solid foundations in data science, Python, and SQL — and combine them with AI tools to build, transform, and scale analytics solutions. You won’t just use AI on the side. It’s how we work.

We operate globally across Australia, India, the UK, and North America. You’ll work within cross-functional teams alongside Product Leads, Delivery Managers, and engineers — taking on increased technical responsibility while developing coordination and mentoring capabilities.

How You’ll Create Impact

AI-Native Analytics

• Design and build analytics solutions using AI-native workflows — from prompt-driven exploration through to agentic code generation and review
• Progress analytical assets and workflows along our agentic maturity framework, moving them from manual processes toward context-aware and agentic delivery
• Critically evaluate AI-generated outputs — knowing when to trust, refine, or override is as important as knowing how to prompt
• Develop reusable analytics approaches, Claude skills, and specifications that scale across teams and geographies

Technical Contribution

• Take responsibility for significant components of analytics solutions including models, algorithms, and optimisation approaches
• Work with complex datasets using cloud platforms (GCP, BigQuery) and modern data engineering tools
• Apply data science methods — experimental design, feature engineering, statistical modelling — with attention to quality and scalability
• Create detailed specifications for analytics work that engineering teams can implement

Collaboration & Growing Influence

• Support and coordinate technical work with analysts at different experience levels
• Share knowledge and contribute to capability development — particularly around AI-native practices
• Contribute to technical discussions on approach, effort estimates, and timelines
• Help identify opportunities for workflow transformation and process improvement
• Support product roadmap delivery and ongoing operational requirements

The Superpowers You’ll Be Bringing To The Team

Technical depth: 4–7 years of hands-on experience in data science or analytics, with strong Python and SQL skills and solid understanding of data science methods including experimental design, feature engineering, and model development.

AI-native mindset: Active experience with AI coding and analytics tools (Claude, Claude Code, GitHub Copilot, or similar), with the critical thinking to assess AI-generated outputs and the curiosity to push into agentic development patterns.

Cloud and engineering foundations: Comfortable working with GCP, BigQuery, and modern data engineering tools, with familiarity in software engineering practices including version control, testing, and deployment workflows.

Collaborative drive: A strong communicator who works well across cultures and time zones, is willing to support and mentor peers, and brings genuine curiosity about how AI is changing the way analytical work gets done.

Required Experience And Capabilities

We don’t expect you to meet every requirement — if you meet some but not all requirements, we’d love to hear from you:

• 4–7 years of experience in data science, analytics, or similar technical roles
• Strong proficiency in Python and SQL with experience handling complex data challenges
• Good experience with Google Cloud Platform (GCP) and cloud-based data processing
• Solid understanding of data science methods including experimental design, feature engineering, and model development
• Familiarity with statistical modelling and its practical application in commercial contexts
• Familiarity with software engineering practices including version control, testing, documentation, and deployment workflows (e.g. CI/CD pipelines, Docker)
• Active experience using AI coding and analytics tools in day-to-day work, or a compelling demonstration of rapid learning and genuine enthusiasm
• Ability to critically assess AI-generated outputs — spotting errors, challenging assumptions, and knowing when human judgement must override
• Degree in engineering, mathematics, statistics, computer science, physics, or a related quantitative field — or equivalent demonstrated capability

Highly beneficial experience and capabilities

• Experience building or contributing to agentic workflows, AI skills, or prompt libraries
• Retail analytics background including consumer behaviour, promotional analysis, or transaction data
• Experience mentoring, training, or supporting peers — formal or informal
• Interest in experimental design, causal inference, or statistical methods beyond standard ML
• Previous exposure to product development environments or agile ways of working
• Understanding of data governance, privacy considerations, and ethical AI practices

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.