Description

• 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

Key Responsibilities

• 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

Skills, Knowledge and Expertise

• 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

• Exposure to natural language querying tools or approaches
• Previous experience improving or designing self-serve analytics environments
• Hands-on knowledge of modern data stacks and modelling approaches

About Vintage.com