Data Analyst

Department: Data

Location: Trimble Offices, Morley

Description

About the team:

Join Vintage Cash Cow's innovative and forward-thinking Technology team as we drive technological and operational advancements across our businesses. Our passionate team leverages cutting-edge technologies and robust data solutions to enhance business performance and shape the future of the re-commerce industry.

About The Role

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.

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Getting Started...

• 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
  
  

Establishing Your Impact…

• 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
  
  

Driving Excellence…

• 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
  
  

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Key Goals & Objectives

• 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

Essential Skills & Experience:

• 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
• Desirable (Nice to Have):
• 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
  
  

Equal Opportunities

At Vintage Trading Limited, we’re committed to creating an inclusive environment where everyone feels heard, respected, and able to bring their authentic self to work. We believe that diversity fuels innovation, creativity, and success.

We welcome applicants from all backgrounds, perspectives, and experiences, and we work hard to ensure equitable opportunities for all. 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.

If you need any adjustments or accommodations during the hiring process, just let us know and we’ll do our best to support you.

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