Hermès Analytics Engineer / Data Analyst

Paris • France

Thursday, January 9, 2025

Hermès, a renowned French luxury brand established in 1837, is celebrated for its craftsmanship and high-quality products. As a family-owned and independent company, Hermès employs nearly 20,000 individuals globally. The brand is driven by a spirit of entrepreneurship and a commitment to excellence, fostering an environment of freedom and autonomy through responsible management. Hermès is part of a larger conglomerate that upholds exceptional savoir-faire, deeply rooted in respect for people and nature, which serves as the source of its exquisite materials. The brand's creativity is fueled by fifteen artisanal métiers, with collections showcased in over 300 stores worldwide.

1. Ensure data quality by maintaining clean, secure, and anonymized data in collaboration with Data Engineers, ML Ops, and Developers.
2. Develop and maintain data transformation pipelines using SQL (BigQuery) and automate processes with Dataform.
3. Monitor data flow evolution through Data Lineage and adjust pipelines as needed.
4. Create and maintain dashboards using Looker Studio, exploring data via SQL queries to develop relevant KPIs.
5. Analyze and interpret data to support strategic decision-making and understand dynamics on hermes.com, including sales, traffic, and customer segmentation.
6. Ensure compliance with GDPR, maintaining data confidentiality and privacy regulations.

1. Minimum of 3 years of experience in data analysis.
2. Master's degree in Engineering, Business, Big Data, Mathematics/Statistics, or equivalent.
3. Strong understanding of digital and e-commerce challenges.

1. Proficiency in BI/Data Visualization tools such as Google Looker Studio or PowerBI.
2. Advanced SQL skills for data manipulation (BigQuery, MySQL, Redshift, Snowflake, etc.).
3. Experience with ETL/Data Transformation tools like Dataform, dbt, or Dataiku.
4. Knowledge of Web/Product Analytics tools (Google Analytics 4, Piano, Content Square, Mix Panel, Amplitude).
5. Basic programming skills in Python and foundational knowledge in Machine Learning.
6. Excellent written and verbal communication skills, with a strong team spirit and relationship-building abilities.
7. Fluency in English for international communication.

A minimum of three years in data analysis, with a focus on digital and e-commerce environments.

Master's degree in a relevant field such as Engineering, Business, Big Data, Mathematics/Statistics.

Joining Hermès offers the opportunity to be part of a prestigious brand known for exceptional products. Employees are at the heart of an exciting project, within a supportive team that values data quality and personal development. The role offers significant autonomy and encourages initiative.

Hermès fosters a culture of creativity and excellence, deeply rooted in its artisanal heritage and commitment to quality. The company values the autonomy and growth of its employees, encouraging a collaborative and innovative work environment. Hermès is dedicated to sustainability and respects both people and nature, reflecting its values in every aspect of its operations.