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Vintage Cash Cow

www.vintagecashcow.co.uk

We buy people's vintage and/or valuables in bulk, at scale. On a mission to find all unused vintage items a new home.

Open roles
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Company signals

Score: 69
Stale listings 0% GitHub org Yes Wide pay-band rate 0% New cities (90d) 1 Buzzword-heavy listings 20% SEC Form D filed never Wikipedia No HN mentions (90d) 0

Job facts

Location
Hybrid · Korneuburg, Austria
Workplace
Hybrid
Type
Full-time
Department
Data
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Data Analyst

at Vintage Cash Cow


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.


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