Want to get hired at Picnic Technologies?

Experienced Product Analyst

Picnic Technologies

Amsterdam, North Holland, NetherlandsOn Site

Original Job Summary

Job Overview

As an Experienced Product Analyst at Picnic Technologies, you will drive innovation by solving complex challenges with cutting-edge solutions. You will harness data to uncover opportunities and craft strategies that redefine the grocery shopping experience.

Key Responsibilities

  • Solve critical business questions shaping Picnic’s model.
  • Innovate across three countries with in-house projects.
  • Develop scalable, impactful solutions using data and technology.
  • Take ownership from conceptualization to implementation.
  • Lead with determination in a fast-paced environment.

Your Superpowers

A Master’s degree in Engineering, Econometrics, Mathematics, Physics or equivalent quantitative field, and 3-5 years of relevant experience in startups, scale-ups or consulting. You have a passion for problem-solving, strong communication skills and proficiency in SQL and Python. EU citizenship or a valid visa to work in the EU is required.

Picnic Perks

  • Fresh lunch, coffee, and snacks with fully-equipped kitchen and coffee bars.
  • Discounts on health insurance and bike plan benefits.
  • Relocation assistance including flight, moving costs and first month rent coverage.
  • Learning and development through courses, academy trainings, and mental wellbeing support.
  • 25 holidays, travel expense coverage, pension plan, and company-provided phone and laptop.

Key skills/competency

Data, Innovation, SQL, Python, Strategy, Problem-solving, Analytics, Ownership, Quantitative, Communication

How to Get Hired at Picnic Technologies

🎯 Tips for Getting Hired

  • Research Picnic Technologies: Review company culture and news for insights.
  • Customize your resume: Highlight data and analytical projects.
  • Practice technical skills: Refresh SQL and Python competencies.
  • Prepare for behavioral interviews: Share examples of ownership and innovation.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and database design.
Practice Python coding exercises.
Study data analysis case studies.
Analyze business intelligence tools.

Behavioral Questions

Describe a challenge and your resolution.
Explain a time you owned a project.
Share an example of innovation at work.
Discuss teamwork in a high-pressure scenario.