Customer Data Analyst

Role Overview

The Customer Data Analyst owns and strengthens the technical foundation supporting customer analytics across L’OCCITANE North America. The role combines hands-on data development, automation, and customer analytics to deliver reliable datasets, workflows, integrations, and reporting solutions that improve commercial performance and the customer experience.

What You Will Do

Conduct deeper analysis, translate complex findings into clear business implications, identify meaningful trends, anomalies, and opportunities, and validate analytical outputs for accuracy, consistency, and appropriate use of customer information.

Why It Might Be a Fit

The successful candidate will use strong technical judgment to create simple, reliable, and maintainable solutions, enable business users to answer recurring questions through trusted self-service tools, and apply emerging automation and AI capabilities where they create practical business value.

Requirements

• Strong SQL skills, including complex transformations, joins, data validation, performance troubleshooting, and reusable logic.
• Hands-on Python experience for data processing, automation, integration, or analytical applications.
• Experience with Snowflake or another modern cloud data warehouse.
• Experience building and supporting data pipelines, automated analytical processes, or production workflows.
• Experience working with APIs, JSON, and file-based integrations such as SFTP.
• Experience with Microsoft Power BI or a comparable business-intelligence platform, including data modeling and dashboard development.
• Strong debugging and root-cause analysis skills, with the ability to independently own an issue through resolution.
• Clear, proactive written and verbal communication across technical and business teams.
• Sound analytical judgment and the ability to connect technical outputs to customer, commercial, or operational decisions.

Benefits

• Generous employee discount to use on all your favorite L’OCCITANE en Provence products.
• Competitive compensation package and a comprehensive benefits package.

Tagged as: Data Analysis