Commercial Data Analyst

About the role

This is not a passive reporting position. As Data Analyst, you will own decision-grade analytics across Commercial, Product, Clinical, Fulfilment, and Customer Operations - turning data into insight and insight into action. You'll also play a key role in building the company's cloud-based customer data warehouse and BI stack, moving beyond the current SQL and Geckoboard setup toward a scalable single source of truth.

Key Responsibilities

• 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.

About You

You’re an analytical, pragmatic problem-solver with experience turning data into commercial insight in a consumer-facing business. You combine strong technical skills with the ability to communicate clearly and influence cross-functional stakeholders.

Essential Skills

• 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

Desirable Skills

• 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)
• Familiarity with data modelling concepts and how to design analytics infrastructure for scale
• Background in healthcare, regulated industries, or repeat-purchase subscription businesses
• Experience working close to senior leadership in a high-trust, fast-paced environment