About
Technology & Data
Location:
Trimble Offices, Morley
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.
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
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.com, 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.
Your personal data will be handled in accordance with our Privacy Notice.
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Languages
- English
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