Logistics Automation Analyst (m/w/d)

at  PICNIC

Combine your passion for technology and data in one of the fastest growing companies in the e-commerce space! We’re looking for ambitious and entrepreneurial talents that are passionate about solving complex puzzles here at Picnic.

DO NOT APPLY IF…

• You are looking for a fancy corporate environment - we are not that! We’re all about embracing the chaos and finding our own path to success.
• You prefer to stick to the sidelines and follow orders - we are not that! Here, we’re all hands-on deck, driving change, and shaping the future together.
• You’re more comfortable in a corporate setting with established hierarchies - we’re not that! Here, everyone’s voice matters, regardless of title or tenure.
• You’re looking for a traditional 9-5 job with monitored hours - we are not that! You can start and finish your day flexibly… as long as you are on top of the puzzle.
  We’re not about standing on the sidelines; we’re about being in the game, driving change, and shaping the future of grocery shopping. But what truly sets us apart is our culture of collaboration, empowerment, and relentless pursuit of excellence.
  Are you ready to be a game-changer? Then keep reading below!

You’ll be hands-on in this role from day ONE! We’ve only started in 2015, just imagine how much is out there that we still didn’t even figure out yet. With operations across three countries and developing almost everything in-house, you’ll have the chance of driving innovation everywhere. As a Automation Analyst within Picnic Germany, your role is twofold: on one hand, you’re using your exceptional analytical skills to drive projects from conceptualization to implementation in different areas of Picnic’s business model; and on the other hand, you steer the expansion and scale up phase of Picnic in Germany, challenging the traditional industry of groceries with a disruptive business model and tackling the food waste world problem by putting data and tech at first.

• About you
• You have a Master’s degree in Mathematics, Engineering, Statistics, Data Science, Operational Research, Logistics & Supply Chain, Business Engineering, Business Mathematics or Quantitative background
• You have 0-3 years of work experience in a fast-paced environment, start-up, scale up or business consulting
• Your ability to explain complex analytical concepts in a comprehensible manner help various stakeholders from different fields
• Your communication skills allow you to convert abstract plans into digestible information for your team
• Your sharp business sense and conceptual thinking abilities mean you can look beyond the obvious to come up with fresh and innovative ideas