We build the products that move TBAuctions and its brands forward, and we want data sitting at the heart of how those products are shaped and judged, not bolted on at the end.

This is product analytics owned end to end. You'll embed with a product squad, help shape features with data before they're built, and prove their impact after they ship. You'll be our domain expert for product analytics and, just as importantly, someone who shares that expertise and lifts the whole organisation's ability to work with data. You'll run with ambiguous questions on your own and work with everyone from engineers to the C-suite.

We’re driven by our commitment to value, transparency, and innovation. Our goal is to deliver exceptional auction experiences to both bidders and sellers, while continuously improving how we work. Our team is collaborative and diverse, but we share key traits: we’re customer-focused, results-oriented, and unafraid to make bold decisions. We're hands-on, proactive, and always looking to make a positive impact.

What you will do

• Embed in feature work start to finish. Bring a data point of view to how a feature is shaped, then measure whether it actually worked.

• Design and run experiments. Build a repeatable testing methodology you can stand behind, including quasi-experimental designs (like interrupted time series) for when a clean A/B test isn't possible.

• Own funnel and journey analysis. Find and fix conversion bottlenecks, and maintain the event tracking behind them, instrumenting events, not just consuming them.

• Build the foundations yourself. Help set up the structure for how we track data, and write and own your own analytics pipelines and data models on the lakehouse, you're hands-on, not waiting on someone else to build every input first.

• Partner with Product Managers on impact. On success metrics, ROI, and reporting you work hand in hand with PMs: you bring the measurement and the methodology, and together you turn it into decisions the business acts on.

• Measure our internal tools. Find out whether the tools and backoffice we build for internal use are actually used, and whether they work.

• Build self-serve tooling. Dashboards and tooling that let teams answer their own questions, so good insight doesn't bottleneck on one person.

What you bring

• Product analytics domain sense above all: you know how and what to build, you bring best practice to the team, and you share what you know.

• Strong SQL and Python: comfortable in a Databricks and dbt environment.

• Solid experimentation and statistics: including designs for when a clean A/B test isn't possible.

• Behavioural and event analytics experience (Segment or equivalent): you instrument events rather than only consuming them.

• BI that people actually use (Power BI, Databricks Genie / AI-BI).

• Communication that holds the room with developers and C-level alike, and flexes to the audience without losing the point.

• A bias for autonomy and automation: you scope and drive your own work, and automate the repetitive parts.

If you don’t check every box, we still encourage you to apply. At TBAuctions, we value eagerness to learn and grow more than just ticking all the qualifications.

Why this role

• Real ownership. You'll own product analytics end to end and be the single point of accountability for the analysis, working autonomously on questions that matter.

• Close to the product. You sit inside the squad and shape features before they're built, not just report on them afterwards.

• Room to raise the bar. You'll bring best practice to a team that wants it, and build the tooling that lets the whole organization self-serve.

What we offer you

• Independent and varied role within an entrepreneurial and innovative organization

• A yearly salary of €85.000 - €90.000 based on experience

• Good pension scheme

• Bonus scheme (up to 1 gross monthly salary per year)

• 25 vacation days

• Laptop and iPhone

• Training opportunities

• Working in a team of professionals, where hard work is well combined with humor