Data Analyst

Vintage Cash Cow; Leeds; On-site; GBP 30,000 - 45,000; Full time

Job summary

A dynamic re-commerce company in Leeds is seeking a Data Analyst to drive reporting and analytics. You will collaborate with finance and marketing teams, design and maintain dashboards, and support the adoption of self-service analytics. The ideal candidate has solid SQL skills and a background in business analysis. This role emphasizes innovative data solutions to enhance business performance and customer insights.

Qualifications

• 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.

Responsibilities

• Design and maintain dashboards in Sigma.
• Write robust SQL to support reporting, modelling, and transformation tasks.
• Train and support colleagues on BI tools and data best practices.

Skills

Solid SQL skills

Proficiency in BI tools

Cross-department collaboration

Curious commercial mindset

Education

Background in Business, Finance, or Data Analyst roles

Tools

Sigma

Power BI

Looker

Job description

Data Analyst

Department: Technology & Data

Employment Type: Full Time

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