Data Analyst

• 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 Cash Cow and Arcavindi, exist to create a world where everything has value and nothing is wasted, on a global scale.Together, we form the UK and European operations of the Vintage Group, united by one purpose, one mission, and one set of values.Vintage Cash Cow is our UK operation and the foundation of our business. It’s where our model was built, tested, and proven, making it easy for customers to sell multiple pre-loved valuables in one simple, trusted journey. Arcavindi is our European operation. Built on the same proven model, it takes what works in the UK and adapts it for new markets across Europe, allowing us to scale our impact internationally.While our brands reflect different markets, we are one business, working as one team. Our people collaborate across borders, share ownership of outcomes, and bring the same care, fairness, and common sense to everything we do.Behind the scenes, we are building the world’s largest international trading platform for pre-loved items, powered by expert people, smart data, and a shared belief in the circular economy.Every item we buy is rehomed, reused, or responsibly recycled — keeping valuable materials in play and out of landfill, and ensuring we always treat customers and their treasures with care and respect.