Engine Optimisation Analyst

Full Time
  • August 29, 2026
  • Employment Info

    JOB   DETAILS

    Requirements
    • Experience or strong interest in AI, GenAI, LLMs, or AI-assisted workflows.
    • Experience reviewing prompts, responses, or AI-generated outputs and designing or supporting automation workflows.
    • Hands-on experience with Python, HTML and SQL.
    • Strong analytical capability, with experience turning data into clear business recommendations.
    • Experience creating dashboards, reporting, or business intelligence outputs using relevant marketing and analytics tools.
    • Ability to connect multiple tools, datasets, or platforms to create a joined-up view of performance.
    • Comfort working with structured and unstructured data.
    • Comfort working in ambiguity and helping shape new ways of working.
    Responsibilities
    • Use Python, SQL, HTML, and relevant technologies to collect, prepare, connect, and analyse structured and unstructured data.
    • Experience building and running online and offline evals for AI queries, responses, and performance, including LLM judges to score where CBA is visible, missed or misrepresented.
    • Support SEO, GEO, and AI discovery experiments by analysing outcomes and translating findings into practical recommendations.
    • Design and support lightweight AI-assisted or agentic workflows that improve reporting, research, content gap analysis and insight generation.
    • Analyse search, content, customer journey and AI discovery data to identify trends, gaps and opportunities.
    • Build and maintain dashboards (in Tableau, or Power BI or Streamlit), reporting and business intelligence outputs that support EO decision-making.
    • Connect relevant tools, datasets and platforms to create more consistent and automated views of EO performance.
    • Communicate technical findings in clear, simple language for business stakeholders.
    Desired Qualifications
    • Understanding how content structure, customer questions, and authority signals influence digital discovery.
    • Experience working with digital marketing, search, content, customer journey, or performance data.
    • Experience working across marketing, data, technology, governance, and product teams.
    • Strong communication skills, with the ability to explain technical information clearly.

     

     

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