AI Consumer Insight Strategist

13 hours ago

Melbourne, Victoria, Australia beBeeInsighter Full time NZ$90,000 - NZ$110,000

We're looking for a visionary to help drive innovation in consumer insights and AI. Someone who has a passion for experimenting with data and pushing the boundaries of research.

Job Overview

This role involves delivering relevant, accurate, and actionable insights each time customers engage with our platform. You will support our internal research team by streamlining the data-to-insight process while also enabling users to conduct deeper, more independent analyses.

Your primary goal is to shape how our AI models interpret and respond to consumer research challenges. You'll design experiments, build prompts and agents, and refine data interpretation methods to ensure sharper, more actionable insights that guide business decisions.

Our AI-powered insights are integral to the overall customer experience, thanks to large language models.

Responsibilities
  • Shape & Refine AI Insights: Collaborate with our team to learn how to use and improve AI tools for analyzing consumer survey data.
  • Experimentation & Innovation: Design, execute, and evaluate experiments that challenge traditional research approaches, iterating on analytical methods to uncover deeper consumer insights.
  • Cross-Functional Collaboration: Work closely with Development, Research, and Product teams to expand the AI interface's capabilities.
  • Ownership of AI Outputs: Oversee all AI-generated deliverables, ensuring they meet customer objectives and maintain high quality.
  • Data Quality Assurance: Participate in QA/QC processes for raw respondent data.

Key Requirements:

  • Market Research Experience: At least two years in a market research agency or similar environment.
  • Experimentation & Communication Skills: Proven ability to design, conduct, and iterate on data experiments, communicating methodologies and findings clearly to both technical and non-technical stakeholders.
  • AI Awareness: An interest in or exposure to AI concepts (such as LLMs, Retrieval Augmented Generation, and agent frameworks).

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