Analytics Engineer

The Role

• Own analytics and AI solutions end-to-end: diagnose the root cause, build the solution, and

follow it through to a business decision and measurable outcome.

• Develop data and AI-powered solutions predictive models, automated pipelines,

intelligence layers — that drive real outcomes and reduce the need for manual

intervention.

• Build and maintain scalable, reliable data infrastructure, including robust data pipelines,

foundational data models, and comprehensive data quality checks that the wider team can

trust and build upon.

• Build and optimize the analytics intelligence layer to ensure the automated, scheduled

delivery of granular insights to the appropriate stakeholders.

Requirements

• 1+ years of applied experience working on analytics or data science projects
• Advanced problem-solving capabilities, with a track record of navigating ambiguous questions

to identify root causes rather than simply executing requested queries.

• Strong Python and SQL, and solid data-management fundamentals.
• Baseline AI fluency, including active use of LLMs for workflow optimization and hands-on

experience building AI-powered operational workflows.

• Intrinsically motivated problem solvers who demonstrate ownership and genuinely enjoy

learning

• The ability to work independently — you can take a problem, scope it, and run with it without

being handed every step.