Remote Data Analyst Intern — Real Projects & Dashboards

Exentra RH; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading data consultancy is looking for a motivated Data Analyst Intern for a paid six-month remote internship in France. You will work on real operational and strategic data projects, handling data accuracy and reliability. The internship offers exposure to data functions within a company, supporting dataset preparation, performance reviews, and reporting tools. Ideal candidates are detail-oriented, knowledgeable in data analysis fundamentals, and eager to learn in a remote work environment.

Prestations

Paid internship

Guidance from experienced professionals

Flexible working hours

Opportunity for future collaboration

Portfolio development

Qualifications

• Currently pursuing or recently completed a relevant program.
• Able to clean data and perform descriptive statistics.
• Capable of creating charts and reports.

Responsabilités

• Collect and organize data ensuring accuracy.
• Conduct exploratory data analysis.
• Build and update dashboards and reports.
• Prepare performance summaries and highlight significant changes.
• Assist in customer segmentation and other analytical projects.
• Document data preparation steps and issues.
• Join remote meetings to understand reporting needs.
• Recommend improvements to streamline data tasks.

Connaissances

Data analysis fundamentals

Excel skills

Attention to detail

SQL knowledge

Python familiarity

Formation

Enrolled in or graduated from Data Science, Statistics, Economics, Engineering, Business Analytics, or similar

Outils

Tableau

Power BI

Looker Studio

Description du poste

A leading data consultancy is looking for a motivated Data Analyst Intern for a paid six-month remote internship in France. You will work on real operational and strategic data projects, handling data accuracy and reliability. The internship offers exposure to data functions within a company, supporting dataset preparation, performance reviews, and reporting tools. Ideal candidates are detail-oriented, knowledgeable in data analysis fundamentals, and eager to learn in a remote work environment.