About 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.
- 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.