Data Analyst Marketplace

Are you a data-driven professional eager to shape the commercial strategy of a fast-growing marketplace? At Trustoo, we are looking for a Data Analyst to build, develop and maintain our "Marketplace Command Center," turning complex data into actionable insights that drive our next phase of expansion.

At Trustoo, we make it easy to find the best local professionals, from painters to accountants. Think Booking or Tripadvisor, but for local services.

Founded in 2019, we help more than 300,000 local service providers across the Netherlands, Germany, Belgium, and Spain grow their business online. With a team of more than 85 colleagues, we are scaling quickly and are looking for a Data Analyst Marketplace to join our Marketplace Squad.

Pieter, Co-founder:

“Our marketplace is becoming more complex every month, with multiple countries, hundreds of services, and thousands of local supply and demand combinations. The next step is to understand that complexity much better through data and translate it into smarter commercial decisions. This role will build the models, insights, and automated systems that help us identify where to act, where to invest, and how to grow the marketplace more effectively and profitably.”

As Data Analyst Marketplace, you will be responsible for turning large and complex marketplace datasets into clear insights, commercial priorities, and concrete actions.

Your main focus will be understanding how supply, demand, pricing, quality, conversion, revenue, and geography interact across the marketplace. You will build analyses, models, dashboards, and automated workflows that show where the marketplace is performing well, where commercial opportunities exist, and where intervention is needed.

A core part of the role is building our Marketplace Command Center. This will become the central source of truth for marketplace performance and help teams make better decisions about where to invest marketing budget, activate provider supply, adjust pricing, or improve the customer journey.

Over time, you will also help develop predictive models and AI-powered workflows that detect marketplace risks and commercial opportunities earlier. Examples include forecasting supply shortages, identifying regions with growth potential, predicting marketplace quality, improving profitability, or recommending where marketing and sales resources should be allocated.

This role is ideal for someone with a strong analytical or data science background who also enjoys working closely with commercial and operational teams. You should be comfortable moving from data exploration to a clear business recommendation, understanding its potential commercial impact, and helping colleagues turn that recommendation into action. In this role you will report to our Head of Marketplace.

• Turn marketplace data into a clear view of where supply, demand, conversion, quality, revenue, and profitability are underperforming.
• Identify and quantify the biggest commercial opportunities across countries, services, and regions.
• Build models, dashboards, and automated signals that help teams prioritize where action or investment will have the greatest impact.
• Develop forecasting and scoring models for demand, provider availability, liquidity, revenue potential, and marketplace growth.
• Work closely with marketing, sales, data, product, and operations to translate insights into concrete commercial actions.
• Improve the data and decision rules behind automated marketing and marketplace steering.
• Measure the commercial impact of interventions and improve models, recommendations, and decision rules over time.
• Clearly communicate what is happening, why it matters commercially, and what the business should do next.

You start the day with the Marketplace Squad standup, sharing the marketplace changes, commercial opportunities, and signals that deserve attention.

Afterwards, you open the Marketplace Command Center and spot that demand for painters is growing quickly in several German regions, while provider availability and response rates are falling.

You investigate what is driving the imbalance. Is coverage too low, are providers reaching their limits, is lead quality changing, or are the current marketplace signals not accurately reflecting what is happening? You quantify the potential impact on conversion, revenue, marketing efficiency, and provider value.

Because campaign steering is already largely automated, you work with the paid team to improve the data behind it. Together, you refine the definitions, inputs, and decision rules so the automation can make better choices about where demand should be scaled up or down and where marketing budget can generate the most commercial value.

Later, you improve a forecasting model that predicts which services and regions are likely to face supply shortages, quality issues, reduced profitability, or lost growth opportunities in the coming weeks.

In the…