Data Analytics Intern — Bordeaux (Insights & Growth)

Betclic Group; Bordeaux; On-site; EUR 10,000 - 15,000; Part time

Benefits offered by this job

Ticket Restaurant card (€11 per day)

Public transport reimbursement 50%

Sustainable mobility allowance

On-site sports facilities

Job summary

Betclic Group in Bordeaux offers a Data Analytics Internship (F/M) for final-year Master students in Data Analytics or Statistics. You will join the Data Analytics team to tackle data challenges and gain hands-on experience with real business insights.

Key tasks include exploring large datasets, transforming data into visualizations, and collaborating with partners to provide actionable recommendations. A solid SQL foundation and English fluency are required; knowledge of Python or R is a bonus.

Qualifications

• Final year of a Master’s degree specializing in Data Analytics or Statistics.
• Strong analytical skills, with rigor and the ability to synthesize information effectively.
• Eager to join a fast-paced and challenging professional environment.
• Solid foundation in SQL and want to sharpen skills further.
• Motivated to grow communication and presentation abilities.
• Fluent in English.

Responsibilities

• Explore and manipulate large datasets to facilitate their use and analysis.
• Transform raw data into visualization tools that support decision-making.
• Work closely with business partners to understand their challenges and provide actionable recommendations.
• Identify high value-added opportunities to support data driven decision making.

Skills

SQL

English fluency

Data Analytics

Statistics

R or Python basics

Education

Master's in Data Analytics or Statistics

Tools

Data visualization tools

Job description

Betclic Group in Bordeaux offers a Data Analytics Internship (F/M) for final-year Master students in Data Analytics or Statistics. You will join the Data Analytics team to tackle data challenges and gain hands-on experience with real business insights.

Key tasks include exploring large datasets, transforming data into visualizations, and collaborating with partners to provide actionable recommendations. A solid SQL foundation and English fluency are required; knowledge of Python or R is a bonus.