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.