Impact-Driven Data Analyst Working Student

Picnic; Paris; On-site; EUR 16,531 - 22,041; Part time

Benefits offered by this job

Health insurance

Psychological support

Transport reimbursement

Meal vouchers

Snacks and refreshments

Job summary

Picnic is seeking a Business Analyst Working Student in Paris to tackle data-driven challenges and support strategic decisions. You will analyze data, identify opportunities, and help shape strategies that enhance the grocery shopping experience within a fast-paced, collaborative environment.

The role requires a Master’s or final-year degree in a quantitative field, passion for data analytics, and proficiency with SQL and Python.

Qualifications

• Master’s degree or final year of Bachelor’s in a quantitative field.
• Passion for data analytics and business consulting.
• Experience or interest in fast-paced environments.
• Ability to explain complex analytical concepts to diverse stakeholders.
• Strong communication skills to translate plans into actionable insights.
• Proficiency with SQL and Python or eagerness to learn.
• Available for a minimum of 16 hours per week for at least 4 months.
• French speaker or strong knowledge of the French market with an EU work permit.

Responsibilities

• Analyze data to identify opportunities and inform strategies.
• Support cross-functional teams with data-driven insights.
• Build and refine models for real-time improvements.
• Communicate findings clearly to stakeholders and help drive decisions.

Skills

SQL

Python

Data analytics

Stakeholder communication

Education

Master's degree or last year of Bachelor's in Mathematics, Econometrics, Engineering, Physics, or related

Tools

SQL

Python

Job description

Picnic is seeking a Business Analyst Working Student in Paris to tackle data-driven challenges and support strategic decisions. You will analyze data, identify opportunities, and help shape strategies that enhance the grocery shopping experience within a fast-paced, collaborative environment.

The role requires a Master’s or final-year degree in a quantitative field, passion for data analytics, and proficiency with SQL and Python.