In this role, you will work closely with stakeholders across ERP, Supply Chain Management, Logistics to turn complex business questions into clear, reliable and actionable data solutions.
You will take ownership of analytics projects from initial.
The role combines stakeholder management, business analysis, hands-on analytics and modern data engineering, with an advanced Agentic AI toolkit at hand to help you deliver high-quality data products efficiently.
Your responsibilitiesPartner with business stakeholders to understand their objectives, processes and analytical needs.
Translate business requirements into scalable data models and analytical solutions.
Take end-to-end ownership of analytics projects, including scoping, prioritisation, delivery and stakeholder communication.
Build and maintain reliable data models and transformations using SQL and dbt.
Design and develop scalable, business-ready data models that provide a trusted foundation for decision-making.
Identify opportunities to simplify or automate recurring reporting and operational workflows.
Leverage Agentic AI and LLM-based tools to deliver high-quality data products efficiently.
Communicate progress, risks, dependencies and recommendations clearly to both technical and non-technical audiences.
Contribute to analytics standards, documentation and knowledge sharing across the team.
What you bring5+ years of experience in business intelligence, analytics, analytics engineering, data engineering or a comparable role.
A good understanding of data modelling, data quality and analytical best practices.
Practical experience with data engineering concepts, including d.