Lead 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.

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 leadership role for someone ready to develop both people and AI-native analytics capability. You'll coordinate a team of analysts, guide them through technical and AI transformation challenges, and maintain your own technical involvement — all while growing your management skills in a collaborative, supportive environment.

We operate globally across Australia, India, the UK, and North America. You'll work across geographies and functions, helping your team deliver high-quality analytics outcomes while driving the AI transformation of your domain's workflows and assets.

How You'll Create Impact

Lead AI Transformation

• Drive the AI transformation of analytical assets and workflows within your domain, setting targets against our agentic maturity framework and holding the team accountable to progress
• Model AI-native ways of working — using AI tools in your own work and coaching your team to do the same with increasing sophistication
• Make judgement calls on where AI adds value and where human expertise must lead, building this critical thinking capability across your team
• Contribute to shaping our Agentic Development Framework, bringing practical experience from your domain to inform what works at scale

Team Development & Technical Coordination

• Coordinate analytics projects and support individual growth, helping each team member build both technical depth and AI-native capability
• Collaborate on setting goals, providing feedback, and identifying development opportunities aligned to evolving capability requirements
• Coordinate the development of analytics solutions across product initiatives, ensuring quality and consistency in technical approaches
• Support the adoption of new tools, methods, and agentic practices, helping your team move beyond basic AI usage toward workflow transformation

Cross-Functional Partnership

• Collaborate with Product, Engineering, and other teams to understand needs and priorities, translating between technical work and business requirements
• Work with other Analytics Leads to share approaches, coordinate AI transformation efforts, and avoid duplicating work across domains
• Contribute to planning and estimation processes, factoring in the efficiency gains from AI-native methods

The Superpowers You'll Be Bringing To The Team

Technical depth: 7+ years of hands-on experience in data science or analytics roles, with strong Python and SQL skills and a solid understanding of data science methods and their practical application in commercial contexts.

AI-native leadership: Active experience using AI coding and analytics tools (Claude, Claude Code, GitHub Copilot, ChatGPT, or similar) — comfortable enough to coach others, not just use the tools yourself — with sound judgement on when AI adds value versus when human expertise must lead.

Cloud and engineering foundations: Good experience with Google Cloud Platform (GCP) and cloud-based analytics tools, with an interest in agentic development patterns — building workflows where AI executes multi-step tasks with human oversight and direction.

People leadership: A genuine interest in supporting and developing others, strong communication and collaboration skills across cultures and time zones, and a willingness to learn management skills including goal-setting, feedback, and performance conversations. Formal management experience is welcome but not required.

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:

• 7+ years of experience in data science or analytics roles, with readiness to take on coordination and leadership responsibilities
• Strong experience with Python and SQL for data analysis and solution development
• Good experience with Google Cloud Platform (GCP) and cloud-based analytics tools
• Solid understanding of data science methods, statistical approaches, and their practical application in commercial contexts
• Active experience using AI coding and analytics tools, with the ability to critically assess AI-generated outputs and coach others to do the same
• Understanding of, or strong interest in, agentic development patterns
• Interest in supporting and developing others, with good communication and collaboration skills for working across cultures, time zones, and experience levels
• Degree in engineering, mathematics, statistics, computer science, physics, or a related quantitative field — or equivalent demonstrated capability

Highly beneficial experience and capabilities

• Experience mentoring, training, or leading teams — formal or informal
• Retail analytics background or interest in learning about consumer behaviour and business applications
• Previous exposure to product development environments or cross-functional collaboration
• Experience working across different cultures or in distributed teams
• 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: Option to work in another country for up to 30 calendar days per year — balancing your career with the freedom to work globally (eligibility criteria apply).

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.