Commercial Data Scientist

Catawiki; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

€100 Catavoucher on joining

€50 Catavoucher on birthdays

Extra day off to pursue personal passions

Job summary

A leading online auction platform in Amsterdam is seeking a Data Scientist - Commercial Insights. In this role, you will own analytics for a commercial area, turning data into actionable insights, and using advanced analytics to influence commercial decisions. The ideal candidate has over 3 years of experience in Data Science, strong quantitative skills, and is proficient in SQL and data transformation tools. This position offers a hybrid work model and opportunities for career growth and mentorship.

Qualifications

• Strong quantitative background with 3+ years of experience in relevant fields.
• Ability to handle large datasets and optimize data pipelines.
• Experience in mentoring junior data scientists.

Responsibilities

• Own analytics for a commercial area to drive revenue growth.
• Define and refine key success measures and translate data into recommendations.
• Use advanced analytics methods to help make faster, better decisions.

Skills

Data analysis

Commercial strategy ownership

Statistical techniques

SQL proficiency

Data transformation (Python, R)

Strong communication

Education

3+ years of experience in Data Science or Analytics

Tools

Looker Studio

Tableau

Power BI

dbt or Dataform

Job description

With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect and store this data, and use it extensively to build a better company by making smarter decisions. The Data Science & Insights team plays a central role in that.

We are looking for a Data Scientist - Commercial Insights to work with our Commercial teams (primarily marketing and supply) and leverage data to identify commercial opportunities from understanding the marketplace balance of the platform to scaling the demand/offering in a given category.

You will be part of the Data Science & Insights team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.

In this role, no two days will be the same: you will build ad hoc analyses, design and analyse commercial activations, uncover trends in user behaviour, communicate about the impact of a new initiative or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s commercial strategy and influencing our stakeholders.

What You’ll Do

• Own analytics for a commercial area – Take full ownership of a major part of the commercial strategy (e.g., leading analytics for demand scaling initiatives in marketing or increasing supply in a given category). Build strong partnerships with stakeholders and proactively provide recommendations to drive revenue growth.
• Turn data into insights and recommendations – Define and refine key success measures, uncover trends, and translate data into clear recommendations that shape commercial decisions, flag opportunities, and drive strategy forward.
• Drive advanced analytics at scale – Use methods like regression analysis, causal inference, and scenario testing to understand buyer and seller needs and help commercial teams make faster, better decisions to scale demand and supply.

Who You Are

• Commercially minded data leader – Strong quantitative background with 3+ years of experience in Data Science or Analytics (ideally in an online company). Comfortable owning complex projects and influencing stakeholders with clear, pragmatic recommendations focused on commercial impact and value.
• Advanced technical skills – Highly proficient in SQL and experienced in writing code to transform data into insights (Python, R, or another language). Able to handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
• Deep statistical expertise – Strong grasp of statistics, applying advanced techniques such as regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.
• Proactive and entrepreneurial mindset – Take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.
• Strong communicator and mentor – Work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations; enjoy mentoring junior data scientists and fostering a data-driven culture.

Where You’ll Be

This role is a hybrid role based in our Amsterdam office.

Why You'll Love Working with Us

• Create a Visible Impact by working at scale in a global organisation that serves millions of customers across 80+ categories. In our flat structure, every role has a broad scope that directly impacts both our customers and the business.
• Learn and Grow with Us through our Learning & Development initiatives, which include clear development plans and mentorship programmes designed to support your career progression.
• Celebrate Life’s Moments with us at Catawiki. When you join us, you’ll receive a €100 Catavoucher, and on each birthday, you\'ll get a €50 Catavoucher to celebrate. Enjoy an extra day off each year to "Pursue Your Passion". We also recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off, plus extra leave for life’s big moments like marriage, engagements, or moving house.

Our Offices and Way of Working

Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire and connect. Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model. That said, some roles may be an exception: if the job description states that the position is fully remote or 100% office-based, that arrangement will apply instead.

If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.