Job Description
Data Analyst
Department: Data
Employment Type: Full Time
Location: Korneuburg, Austria
Reporting To: Andy Pickup
Description
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.
- 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
- 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
- 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
- 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
- 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
- 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
