Data Analyst, Vintage Cash Cow

• Solid SQL skills and experience building data models from scratch
• Proficiency in BI tools (ideally Sigma, but Power BI, Looker or similar also great)
• Confident working across departments to gather requirements and iterate on outputs
• Background in Business, Finance, or Data Analyst roles (or similar analytical fields)
• Curious, commercial mindset — you want to understand the “why” behind the data
• If you're excited about this role but don’t meet every requirement, we still encourage you to apply, your unique skills and experiences might be exactly what we need now or in the future

Desirable

• We’re looking for a data-first, insight-hungry Data Analyst to help us evolve our reporting and analytic capabilities. You’ll start by building on a solid foundation of data, and grow your impact by helping teams solve real world problems with smart, scalable insights
• This is a hands-on role, you’ll shape dashboards, create new data models and be a go-to partner for business stakeholders. You’ll get to play a key role in making data more self-serve, enabling others to explore and act on insights, with your support
• Get to know our BI stack and reporting infrastructure
• Meet key commercial and finance stakeholders and shadow existing reporting processes
• Review existing dashboards, data sources, and user feedback to identify early wins
• Build and optimise reports and dashboards in Sigma
• Collaborate with marketing, finance, and ops to translate business needs into data outputs
• Begin supporting teams with SQL-powered insights and reporting improvements
• Own and evolve core dashboards and reporting pipelines
• Champion self-service BI through stakeholder training and enablement
• Identify data gaps and lead initiatives to improve quality, accessibility, and usability
• Deliver accurate, insightful, and scalable reporting across the business
• Improve the quality, speed, and accessibility of our internal data
• Support decision-making through analysis and close collaboration with teams
• Enable a culture of self-service analytics through training and tools
• Design and maintain dashboards in Sigma
• Translate business requirements into data solutions, from ad hoc queries to scalable reports
• Write robust SQL to support reporting, modelling, and transformation tasks
• Act as a connector between business users and the core data team
• Train and support colleagues on BI tools and data best practices
• Identify inefficiencies in existing reporting and proactively offer improvements
• Support experimentation with natural language querying and other accessibility features
• Partner especially closely with Finance and Commercial teams to drive meaningful analysis