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Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Understand and translate business questions into structured analytical approaches
- Conduct end-to-end analysis to support commercial and D2C initiatives
- Write, optimise and use SQL queries to investigate business questions and work with relevant datasets
- Provide analytical support across pricing, promotions and experimentation
- Support the analysis and interpretation of experiments and A/B tests
- Translate analytical findings into clear, actionable business insights
- Work independently to structure analytical problems, determine appropriate approaches and deliver high-quality outputs
- Communicate progress, findings and next steps clearly with the wider team
- Collaborate with the Analytics team to increase analytical capacity and accelerate insight delivery
Requirements
What you’ll need- 6+ years' experience as a Senior Business Analyst or in a similar analytical role
- Strong hands-on experience with SQL, including writing and optimising queries
- Demonstrated ability to conduct independent, end-to-end analysis
- Experience translating business questions into analytical approaches and actionable insights
- Experience working collaboratively with analytics, commercial or business teams
- Strong SQL and confidence working directly with data
- Strong analytical and problem-solving skills
- Ability to understand business questions and structure them into clear analytical problems
- Ability to work independently and take ownership of analytical deliverables
- Strong communication skills, with the ability to clearly explain findings, progress and next steps
- Commercial mindset and ability to connect analysis with business outcomes
- Ability to use AI tools to support analytical work and improve productivity
- Experience supporting pricing or promotional analysis
- Experience with experimentation or A/B testing
- Experience in eCommerce or Direct-to-Consumer environments
- Previous experience in trading or commercially focused roles
- Experience applying AI and automation to improve analytical workflows
- Comfortable working in collaborative and international environments
- Curiosity, analytical mindset, and motivation to solve meaningful business challenges
- Commitment to continuous learning and professional growth
Benefits
Comp & perks- Competitive salary aligned with your experience and the data market
- Meal allowance: €10.20/day
- Flexible benefits plan
- Private medical insurance
- 22 days of annual leave, increasing every 3 years (up to 25 days)
- Continuous learning via KLX – Keyrus Learning Experience
- A collaborative, international, and human-centred work environment
