Map and prioritise the organisation's critical decisions.
Proactively surface what the business hasn't seen.
Lead the analytics function as a product team.
Design and deliver gold-tier data products.
Architect and own the self-service analytics model.
Own the semantic layer strategy.
Partner with data engineering on data contracts and gold layer design.
Own the BI platform end-to-end.
Lead the adoption of AI-powered analytics.
Drive data literacy and decision-readiness across the organisation.
Establish and maintain catalogue presence for all analytics assets.
Define and enforce analytics engineering standards.
Measure what matters.
Mentor and develop analysts within the team.
Requirements
3+ years in business intelligence, analytics, or a decision science role, with at least 2 years leading a BI or analytics function in a senior capacity.
Demonstrated ability to work backwards from business decisions to analytics requirements.
A track record of proactive insight discovery.
Expert-level proficiency in at least one enterprise BI platform (Tableau, Power BI, Looker, or equivalent).
Strong SQL skills with the ability to write, optimise, and review complex queries against large datasets in a cloud data platform.
Demonstrable experience delivering BI outputs as data products.
A proven track record of designing and scaling self-service analytics.
Deep expertise in semantic layer design and metrics governance.
Strong understanding of lakehouse and medallion architecture.
Experience working within a governed data platform.
Excellent stakeholder management and communication.
A track record of building and leading high-performing analytics teams.