Business Analytics Working Student — Drive Real-Time Impact

Teampicnic; Paris; On-site; EUR 11,000 - 16,000; Full time

Benefits offered by this job

Skill development

Impactful projects

Diverse team

Health insurance

Commuter benefits

Meal vouchers

Job summary

Picnic is seeking a Business Analyst Working Student in Paris to tackle real-world business questions using data-driven insight. You will support strategies that enhance the grocery shopping experience, working closely with a dynamic, international team in a fast-paced environment.

The role requires 16 hours per week for at least 4 months, with a strong focus on SQL/Python skills, data analytics, and clear communication in English.

Qualifications

• Currently pursuing a Master's in a Quantitative field.
• Passion for business consulting and data analytics
• Translating complex analytical challenges into clear strategies and executing business solutions
• Proficiency with SQL and Python or excited to learn
• You are fluent in both verbal and written English and have an EU citizenship available
• Available for minimum 16h per week for minimum 4 months
• French speaker or good knowledge of the French market with a valid EU work permit

Responsibilities

• Solving real-life puzzles: Tackle critical business questions that shape Picnic's business model every day.
• Enabling: Achieve operational excellence by approaching challenges with a data-driven and analytical mindset.
• Building: Create and optimize models for real-time improvements.
• Communicating: Work effectively with different teams to deliver impactful and sustainable solutions.
• Owning your projects : Take initiative by challenging the status. Just because it's been done that way doesn't mean it's the best way. Try us!

Skills

SQL

Python

Data Analytics

English Proficiency

Education

Master's degree in quantitative field

Tools

SQL

Python

Job description

Picnic is seeking a Business Analyst Working Student in Paris to tackle real-world business questions using data-driven insight. You will support strategies that enhance the grocery shopping experience, working closely with a dynamic, international team in a fast-paced environment.

The role requires 16 hours per week for at least 4 months, with a strong focus on SQL/Python skills, data analytics, and clear communication in English.