Business Intelligence Engineer, RSI

The Retail Supply Chain Initiatives (RSI) team is looking for a Business Intelligence Engineer who thrives in a collaborative, creative, and fast-paced environment where ambiguity is the norm and analytical thinking drives impact.

In this role, you will develop, enhance, automate, and manage analytical models that power decision-making across EU supply chain operations.

What you’ll do:

• Design and maintain data pipelines, models, and dashboards that serve multiple stakeholders across the organization
• Translate complex data into clear, actionable insights and present findings to both technical and non-technical audiences
• Use data to constructively challenge assumptions and inform better decisions
• Identify opportunities to simplify and automate, building sustainable long-term solutions, Build and maintain ETL pipelines and data models supporting EU supply chain analytics
• Develop dashboards and reporting solutions for retail stakeholders, ensuring data accuracy and timely delivery
• Perform deep-dive analyses on supply chain metrics, surfacing root causes and actionable recommendations
• Automate recurring reporting and data quality checks to reduce manual effort
• Partner with senior BIEs and product managers to translate business questions into analytical solutions
• Document data sources and methodology to enable self-service for business users
• Help shape the future of our analytics practice - contributing to the team’s transition toward AI-powered, conversational data experiences that are replacing traditional dashboards

About the team The Retail Supply Chain Initiatives (RSI) team’s vision is to evolve EU Retail inbound into the most cost-efficient and selling partner-friendly integrated supply chain. The BI team within RSI provides the analytical backbone for this mission - delivering timely, actionable insights across dashboards, financial reporting, and data products that serve 4,000+ users across the EU stores organization.

Solid foundation in data mining, modelling, and quantitative analysis

• Experience working with large-scale datasets (professional or academic)
• Clear written and verbal communication skills - able to tell the story behind the data
• Comfort navigating ambiguity and a willingness to ask questions to define problems
• A collaborative mindset with curiosity and eagerness to learn from experienced team members, Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)
• Experience with SQL

• Experience in the data/BI space

• Master’s degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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