Data Analyst

Goessor; Paris; Hybride; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A next-generation consumer products platform is seeking a Data Analyst for Supply Chain to improve data ingestion and transformation processes. This role requires expertise in SQL and familiarity with Python, aimed at supporting forecasting and order management. The ideal candidate will have 2-3 years of experience in data analysis, be detail-oriented, and able to work in a fast-paced environment. The position offers a flexible hybrid working model and the chance to work with a diverse global team.

Prestations

Flexible working environment

Supportive global team

Growth opportunities

Qualifications

• 2–3 years of experience in data analysis or supply chain analytics.
• Detail-oriented with strong analytical skills.
• Comfortable manipulating large datasets and ensuring data alignment.

Responsabilités

• Ingest, clean, and transform supply chain datasets into warehouse models.
• Develop pipelines that automate supply chain processes.
• Collaborate with supply chain managers to meet operational needs.

Connaissances

SQL expertise

Python knowledge

Data analysis

Analytical skills

Outils

Snowflake

Airflow

Pandas

Description du poste

Essor, where brands take flight. We find digital challenger brands and supercharge them into iconic global legends that consumers love. As a next-generation consumer products platform, we leverage technology, industry expertise, and strategic collaborations to ignite growth and launch brands beyond expectations.

Essor’s brand portfolio today includes a broad range of rapidly growing health & wellness and lifestyle brands like Boka, ZitSticka, Puracy, OTOTO Design, FreshCap, Iron Flask, Fullstar, NumNum, Key Nutrients, and Viking Revolution that are sold on Amazon, Direct to Consumer channels, and through national retailers like Target, CVS, and Walmart.

About the Role:

As a Data Analyst for Supply Chain, you will focus on managing data ingestion and transformation to support our supply chain tools and processes. You’ll collect data from multiple sources, prepare it in Snowflake, and standardize it for business use—supporting forecasting, ordering, replenishment, depletion, and 3PL/Amazon integrations.

You will build on top of existing systems, maintaining and expanding pipelines rather than designing new architecture. Your work will directly improve the efficiency and reliability of supply chain operations, ensuring that business teams have accurate and timely data to make decisions.

What You'll Do:

• Pipeline Management: Ingest, clean, and transform supply chain datasets into warehouse models.
• Ensure data is aligned with business requirements for replenishment, ordering, and inventory tracking tools.
• Develop new pipelines that automate execution of supply chain processes, moving data from cold storage into active models.
• Partner with supply chain managers and the Senior Supply Chain Manager to ensure pipelines support operational needs.
• Debug and fix data flow issues, ensuring continuity of supply chain reporting.
• Prepare structured datasets to enable reporting on inventory, 3PL dependencies, and Amazon processes.

What You Are:

• 2–3 years of experience in data analysis, analytics engineering, or supply chain analytics.
• SQL expert; comfortable manipulating large, complex datasets.
• Basic Python knowledge; Pandas familiarity is a plus.
• Knowledge of Airflow or pipeline orchestration tools is a plus.
• Experience with supply chain, logistics, or e-commerce data preferred.
• Strong analytical skills: able to understand business processes and translate them into data flows.
• Detail-oriented, organized, and comfortable working in a fast-moving environment.

We are seeking for people who:

• Are owners.
• Are continually raising the bar.
• Are sincerely open-minded, and are willing to examine their strongest convictions with humility.
• Nurture and embrace differing perspectives to make better decisions.

What's in it for you?

• A supportive, diverse and global team with a growth mindset.
• A scaling company with great industry professionals.
• A flexible (hybrid) working environment.
• Great opportunities to get involved with exciting projects.

If you are ready to join our fast-paced company, apply now!

We are an Equal Opportunity Employer. All qualified applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin will be considered. No qualified applicants will be discriminated against on the basis of disability or protected veteran status.