Data Analyst

Hybrid Full TimeLille, Hauts-de-France, FranceOPENMIND

Role Overview

Join a dynamic and collaborative team as a Data Analyst to produce, analyze, and deliver high-value statistical studies in support of commerce (FR and UK).

What You Will Do

Develop prospecting scores and lookalike models, perform segmentations, profiling studies, and respondent analyses, and accompany the commercial team in client meetings.

Why It Might Be a Fit

You will have the opportunity to actively contribute to inter and intra-service reflections to optimize production methods, automate flows, and explore new tools, and develop your skills in a human-sized team with a strong team spirit and good client-facing skills.

Requirements

  • Master 2/Bac+5 in Statistics, Machine Learning, Big Data, Data Science, or Artificial Intelligence
  • Approximately 2 years of experience in a role focused on data mining, statistical modeling, or data-driven analysis
  • Operational mastery of Python and SQL
  • Mastering Microsoft Office (Excel advanced, PowerPoint)
  • Knowledge of data visualization techniques (ability to present data for better understanding)
  • Professional operational English (minimum B2 level required)

Benefits

  • Competitive salary
  • Mutual (70% employer coverage)
  • Pension
  • Restaurant vouchers
  • 25 days of paid annual leave
  • 12 days of RTT (for a complete civil year)
  • Additional leave days by 5-year seniority level
  • Optional mobility allowance (at the employee’s choice)

Tagged as:

To apply for this job please visit job-boards.greenhouse.io.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

RevOps Careers Favicon

Get the latest RevOps jobs every Monday.

No noise. Just the best GTM roles, curated weekly.

We don’t spam! Read our privacy policy for more info.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!