Forecasting Analyst

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Forecasting Analyst

Do you like to use your analytical skill to provide proactive & actionable insights to improve our order forecasting and therefore improve our delivery fleet management? And do you have an Operational Research/Econometrics background?  Then this vacancy might be interesting for you!


We - - are the leading online food-delivery platform in continental Europe and are looking for a Forecasting Analyst to join our Data Analytics teams. 

You are one of the driving forces behind the creation of in-depth logistics analysis. Together with your brilliant team members, you build models and crystal clear insights, and you know how to visually present it, so that your audience can adopt it in their daily work. As such, you use your superb communication skills in transmitting your passion for data to others.

In this role you will be the one responsible for 

  • The forecasting of the amount of orders we are expecting. Based on this, we can plan our delivery personnel allocation planning, and therefore its crucial to the success of our business that this is done as accurate as possible. 
  • Proactively analyse the results and come up with new insights to improve future forecasting, so we can maximize sales and minimize cost. 

You will be part of an international team of Business Analysts, where each member works on variety of analytics insights. You will frequently communicate with them to leverage their knowledge and experience, to rapidly build up analytics solution for our delivery logistics improvement.

 Your profile:

  • An academic quantitative degree (MSc) is required like for example Econometrics/Operation Research/Economy, Mathematics, Statistics, Artificial Intelligence or another related field with a strong emphasis on statistics

  • 2+ years of working experience in a similar role, familiarity with fleet management or logistics KPIs is a big plus, and experience with providing dashboards or reports to quantify the progress of KPIs achievement

  • 2+ years of R and/or Python experience to run statistical analytics on data sets to retrieve actionable insights

  • 2+ years of SQL (Redshift, Postgresql is preferable) experience to convert operational data such as order transaction
  • Project management skills to plan reasonable and realistic project timelines and obtain agreement among stakeholders


You are part of one of the Business Analysis teams which has a focus to gain insights to improve our reach to customers and restaurants, which includes reporting and dashboarding but also ad-hoc business cases/questions using (advanced) statistics. Therefore the people in the team have different backgrounds and roles to achieve the goal (and thereby opportunities to learn from your peers). By doing so you have a big contribution to's Data Driven Decision Making strategy. From a planning perspective the team works in an agile way using SCRUM. As a team you present to the rest of the company the insights you have developed during the sprint, which gives the team a great visibility within the organization.    

Our offer:

  • Big data!
  • Work in a fast growing company
  • Being part of a new, young, professional and international team
  • A competitive salary including 8% holiday allowance
  • Travel costs 1st class public transportation
  • Pension plan 50% paid by
  • 25 holidays a year on a full-time basis
  • An office location within the heart of Amsterdam (5 min. from Central Station)
  • Internal as well as external schoolings and conferences
  • Hackathons and prototyping of new solutions
  • Awesome team events

Are you ready to join? is the leading food ordering website in Continental Europe, with a proven business model that provides an effective revenue stream for restaurants and convenience for consumers. Headquartered in Amsterdam and with established operations in 8 countries across Europe and Vietnam, our business has grown rapidly in recent years. With almost 50 million orders and double-digit growth we are the fastest growing player in many markets and still see a lot of untapped potential.

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