Industrial Data Analyst: Factory & Warehouse Insights

Airswift; Lyon; On-site; EUR 65,000 - 111,000; Full time

Job summary

Airswift is seeking an experienced Data Analyst to support factory and warehouse operations in Lyon, France. The role involves transforming complex operational data into actionable insights that improve efficiency, performance, and decision-making.

This is a freelance engagement with a daily rate and a minimum onsite requirement (3 days per week). The role covers building data models, dashboards, and standard reporting, applying statistics to operational problems, and delivering self-service

Qualifications

• 5+ years' experience as a Data Analyst in industrial, manufacturing, factory or warehouse environments.
• Strong experience with data extraction, data modelling, reporting and analytics tools.
• Experience applying statistics and data analysis to operational business problems.
• ITIL v4 analytical skills and fluent English with strong French communication.

Responsibilities

• Analyse industrial, factory, and warehouse data to identify trends, opportunities, and performance improvements.
• Develop analytical hypotheses based on business requirements.
• Build and maintain data models, dashboards, and standard reporting solutions.
• Deliver data visualisations that support business and operational stakeholders.
• Apply statistical techniques and mathematical models to solve business challenges.
• Support self-service reporting capabilities across the wider user community.
• Collaborate with technical teams to deploy scalable analytics solutions.

Skills

Data Analysis

Data Extraction

Data Modeling

Reporting

Analytics Tools

Statistical Analysis

ITIL v4

FR/EN Communication

Job description

Airswift is seeking an experienced Data Analyst to support factory and warehouse operations in Lyon, France. The role involves transforming complex operational data into actionable insights that improve efficiency, performance, and decision-making.

This is a freelance engagement with a daily rate and a minimum onsite requirement (3 days per week). The role covers building data models, dashboards, and standard reporting, applying statistics to operational problems, and delivering self-service