Define and maintain a KPI framework and deliver self-serve BI dashboards used weekly by senior leadership
Own analysis across funnel performance, customer acquisition, conversion, retention, cohort behaviour, and unit economics
Partner with the Tech Director on data warehouse architecture
including cloud tooling, data modelling, and BI layer design
Contribute to data pipeline decisions: ingestion, transformations, semantic layer, and reporting infrastructure
Own data quality
build validation processes, reconcile metrics, and eliminate reporting inconsistencies across teams
Deliver commercial insight across pricing, product mix, churn, adherence, and customer experience
Support A/B testing and experiment measurement: test design, measurement plans, and post-analysis readouts
Improve data literacy across the business through clear storytelling and accessible reporting for non-technical stakeholders
Requirements
Advanced SQL skills with a proven track record delivering analytics that drives business decisions
Experience in DTC, eCommerce, consumer services, subscription, or other high-volume digital environments
Proven ability to build BI dashboards and reporting outputs that are actively used by leadership teams
Strong analytical skills
able to translate ambiguous business questions into structured, actionable insight
Rigorous approach to data quality, metric definitions, and reporting accuracy
Strong stakeholder management skills across commercial, technical, and operational functions
Hands-on experience with modern data stack tools
data warehouses (e.g. BigQuery, Snowflake, Redshift), transformation tools (e.g. dbt), and BI platforms (e.g. Looker, Metabase, Power BI, Tableau) (desirable)
Familiarity with data modelling concepts and how to design analytics infrastructure for scale (desirable)
Background in healthcare, regulated industries, or repeat-purchase subscription businesses (desirable)
Experience working close to senior leadership in a high-trust, fast-paced environment (desirable)