Vintage Cash Cow
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
- 82
Company signals
Score: 69Job 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