Impact-Driven Data Analyst Working Student

Picnic; Paris; Sur place; EUR 16 531 - 22 041; Temps partiel

Avantages offerts par ce poste

Health insurance

Psychological support

Transport reimbursement

Meal vouchers

Snacks and refreshments

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

SQL

Python

Data analytics

Stakeholder communication

Formation

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

Outils

SQL

Python

Description du poste

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.