Quantitative Consultant, Melbourne

The Opportunity

Join an award-winning, growth-focused strategic insights consultancy where you'll work with leading Australian brands, learn from experienced researchers and enjoy excellent career progression.

This is an exciting opportunity for an early-career researcher who brings curiosity, creative thinking and excellent communication skills. You'll gain exposure to varied brand and business challenges, direct client interaction and AI-enabled research while developing your quantitative and consulting capabilities.

What You'll Do

• Play an important role across ongoing trackers and ad hoc research projects
• Manage sampling, quotas, weighting and external fieldwork partners
• Use primary and secondary data to uncover meaningful consumer stories
• Work directly with clients and build strong relationships
• Coordinate projects internally and with clients to ensure high-quality delivery
• Apply Jobs to Be Done thinking to understand the challenge behind each brief
• Use Q and AI-enabled tools to support efficient, accurate research delivery
• Turn findings into clear insights that help clients answer important business questions

What You'll Bring

• Around 1-3 years' experience in quantitative market research, insights or a related consulting environment
• A relevant qualification in psychology, marketing, business, anthropology or a related discipline
• Hands-on experience with methodologies such as pack testing, concept testing and tracking studies
• Ideally, exposure to more complex methodologies such as PPA and Usage & Attitude studies
• An understanding of NPS and an interest in Jobs to Be Done thinking
• Experience using Q, or the ability to learn new analysis platforms quicklyCreative thinking and genuine curiosity about the story behind the data
• Excellent written and verbal communication skills
• Strong organisation, attention to detail and project coordination skills
• A growth-focused mindset and genuine appetite for learning, feedback and career development
• An interest in how AI is changing research and a willingness to build your capability in this area
• A proactive, resilient and collaborative approach