Data Analyst

We’re looking for a Data Analyst to turn data from across the business into clear, actionable insights. You’ll take ownership of reporting and dashboarding, support teams across Marketing, e-commerce, Sales and Operations, and help stakeholders use data confidently to make better decisions. This is a business-facing analytics role where you’ll work closely with stakeholders across the organisation and collaborate with the wider data team to ensure reporting is accurate, consistent and based on trusted data.

• Build, maintain and continually improve dashboards and reports using a BI and analytics platform.
• Help stakeholders self-serve insights and use data confidently.
• Ensure reporting is accurate, well documented and based on consistent definitions.
• Automate recurring reporting and reduce unnecessary manual data processes.
• Partner with Marketing, e-commerce, Sales and Operations to understand performance and answer commercial questions.
• Analyse campaign performance, ROAS, CPA, customer acquisition, sales, customer behaviour, segmentation and lifetime value.
• Monitor key business KPIs, identify trends and risks, and translate findings into clear recommendations.
• Support pricing, promotional, forecasting and other ad-hoc commercial analysis.
• Identify and investigate data quality issues, gaps and discrepancies, working with the wider data team and system owners where technical fixes are required.
• Own and document reporting logic, business definitions and KPI definitions to improve consistency across teams.
• Help shape trusted datasets and data models for reporting and analysis.
• Validate dashboards and reporting outputs to ensure they remain accurate and useful.

• Commercial experience in a Data Analyst, Business Intelligence or similar analytics role.
• Strong SQL skills and confidence working directly with data.
• Experience building dashboards and reports using a BI or analytics platform.
• Strong analytical skills with the ability to turn data into clear, actionable insights.
• Good Excel or Google Sheets skills for analysis and modelling.
• Strong communication skills and confidence working with non-technical stakeholders.
• Good organisation and attention to detail, with the ability to prioritise competing business questions.
• Experience with Omni, Looker or a similar self-service BI platform would be beneficial.
• Experience analysing marketing, e-commerce, subscription or customer data would be advantageous.
• An understanding of modern data warehouses and ETL/ELT concepts would be beneficial.
• Experience working within a fast-paced or founder-led business would be useful.
• Experience with in fitness, health, supplements or lifestyle brands would be advantageous.