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Translating raw data into actionable insights

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Prodrive is a highly digital company, which comes with a huge amount of data spread across many different applications. At Advanced Analytics, we use our in-house data science platform to combine, process, and visualize our company data. We do this to generate actionable insights about virtually every aspect of the company - this includes our manufacturing processes, finances, supply chain, human resources, and so on. In order to make the best decisions, we need the best possible insight into our (digital) facts.



| 数据分析师



| 数据分析师

The first thing that I do on a typical workday is to check the finance dashboards  – besides that it is interesting to see how the company is doing on its revenue targets, I also get to fix bugs early in case they pop up. Since a lot of my Python scripts run nightly, a quick check for error notifications is always a good idea. Luckily, issues do not pop up often, and if they do, they can normally be fixed quickly with the help of our data infrastructure team.

I usually spend the better part of the day on activities related to dashboard development: analyzing data, programming data processing scripts, creating reports with business intelligence tools, writing documentation, etc. However, I never have a workday that only consists of solo development work: there’s always a lot of interaction with end-users, be it in the form of answering questions, brainstorming new features, or getting feedback on a new report. However, I also collaborate a lot with colleague data engineers, for instance by reviewing their work or sharing handy new shortcuts in our IDE.

When late afternoon comes in, I often feel like it is high time for some physical exercise. So, I then go for a workout in the Prodrive gym to clear up my mind. After that, I might call it a day and go back home, or I might eat a nice evening meal at Prodrive and work for a few more hours. Never because I really have to, but always because I like my work and because I really want to make an impact with the stuff that I am building. I really like the freedom of working at Prodrive – you can pursue your data-heavy ideas to improve the company as much as you like and at the time of the day you like.

The value is not in the dashboard itself, but in the impact of the insights on the company.

Data analyst profile

  • 数据科学、工程或任何定量或工程领域(计量经济学、计算机科学等)的理学士、工学学士、理学硕士或博士学位。

  • 渴望了解制造过程和系统

  • 创业精神和成功的驱动力,竞争的态度和不断提高自己的需要

  • 很强的沟通能力

Pros and cons

  • Nice balance between talking to end-users and development work

  • Working together with many different people across Prodrive

  • Equality and no management layers

  • Ability to choose last-minute to work at Prodrive or to work from home (or both!)

  • Learning a lot from talented colleagues

  • Tasty lunch

  • Other Prodrivers always have too many cool ideas for new dashboards at the same time

  • Funny chat messages from colleagues distract me from work



You don’t just go to work, you feel responsible for your project


You decide when, where and how much you want to work


You like to think about manufacturability when designing


You don’t sit and wait, you have a hands-on mentality

Have you got what it takes to become a Prodriver?


  • Perfect environment for people willing to take full responsibility in a project
  • Unlimited growth opportunities and freedom in taking different roles in different projects
  • Young and dynamic culture
  • Unlimited personal budget for training courses, classes or studies
  • We keep management positions to a minimum, so there is virtually no hierarchy
  • We are open 24/7 and provide lunch, dinner and a company gym
  • Create your future with your own personal development plan
  • Tools and equipment such as an iPhone, iPad and laptop
  • The flexibility to work wherever and how much you want
  • Salary that grows with your performance
  • Opportunity to become a shareholder and entrepreneur in the company
  • Travel allowance based on the days you are actually at Prodrive
  • Distribution of profits


  1. We’ll take a look at your application
  2. Aptitude test
  3. Interview
  4. Employment conditions
  5. Signature