Who we are

Catawiki hosts weekly auctions for collectors. Examples of items that we have auctioned off in the past include a lock of Napoleon’s hair, a mammoth skeleton, various large meteorites, and the most expensive Lego set ever produced. Our website is visited millions of times every month by our registered users worldwide.

Although we only started a few years ago, our mission to make unique items available to everyone is already becoming a reality. The Catawiki offices across Europe house a dynamic, fast-growing and open organisation. Catawiki has a real ‘hands-on’ mentality, with a casual and friendly atmosphere. We share a strong team-spirit, and all of our inspired employees are motivated to use their own personal talents and skills as part of a whole.

We are very proud to be the first Benelux company to have received an investment from the famous Accel Partners and Lead Edge Capital (first venture capital investors in Facebook, as well as Dropbox, Spotify, and BlaBlaCar).

What you will do

As a Data Scientist focused on marketing in the Analytics team, you will be responsible for helping drive the growth and success of marketing efforts at Catawiki. You will achieve this by providing actionable insights, advanced measurement techniques, and access to the tools, data and metrics needed for decision-making and optimization.

Examples of what you’ll be working on:

• Use Catawiki’s data warehouse to create a better understanding of our users and the effectiveness of our current marketing efforts
• Develop and implement measurement frameworks and marketing models, from marketing mix optimization and attribution to churn and lifetime values
• Identify key metrics that drive the performance of marketing channels and marketing products and make these accessible to stakeholders through dashboards and reports

Who you are

• You have 2-4 years experience as a marketing analyst / data scientist in which you extracted meaning from large datasets in support of marketing efforts
• Highly analytical and critical thinker
• You can communicate complex analyses clearly and simply verbally, visually and in writing
• Ability to drive and manage projects. You can point to numerous examples of data-driven projects you owned, are proud of, and had a significant impact for your organization
• You have experience and expertise in areas such as channel attribution, churn and lifetime value models, finding cost-effective growth strategies, analytical tools and infrastructure
• Experience with Tracking Technologies (webtrekk, Omniture, Snowplow, Google Analytics…) and Tag Management knowledge
• Experience in working with SQL databases, ideally also some familiarity with NoSQL
• You are proficient in at least one other programming language such as Python (preferred) or R

The following are a plus:

• Proven ability to extract meaning from very big datasets with very little engineering support
• Experience with front-end business intelligence tools like Tableau, Qlikview, etc.

What we offer

An exciting job in a young, fast growing, dynamic & international organisation. We offer an excellent salary and suitable terms of employment, as well as a company Macbook. Naturally, compensation for relocating can be provided.