Data Analyst

About the team

Join our 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.

Department

Data

Location

Duiven, Netherlands

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 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 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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