Data Analyst

At Trengo, data isn’t a back-office function; it’s what makes our product smarter and our customers more successful. As a Data Analyst on our Data Analytics Team, you’ll sit at the intersection of data, AI, and business enablement: turning signals from our platform and customer interactions into intelligence that drives decisions, automates workflows, and makes our AI features measurably better over time.

This is a Data Analyst role at its core. But you’ll go further than most analysts do. You’ll use AI as an integral part of how you work and deliver, partnering closely with our AI Engineer to surface intelligence improvement insights, propose concepts to test, and ensure our agents are grounded in the right data and learning from real outcomes.

You’ll work closely with Product, Engineering, Customer Success, RevOps, and Finance. You’ll report to the Data Analytics Manager and collaborate with a tight-knit team that moves fast and cares deeply about delivering value.

What you’ll do

• Build and curate the data and knowledge layers that feed Trengo’s AI agents; support agent performance analytics and knowledge gap analysis for Engineering and Product.
• Identify and build AI-powered automation for RevOps workflows, reducing manual work and increasing speed and accuracy across revenue operations.
• Enable business teams (RevOps, Finance, GTM) with AI-powered analytics tools, moving them beyond raw DWH tables toward self-serve insight and report generation.
• Build predictive models and data products that support decisions on churn, pipeline health, marketing effectiveness, and customer operations., This is not an AI Engineer or ML Engineer role. Implementation is Engineering’s domain. You’ll work closely with our AI Engineer to provide intelligence insights and propose concepts, while owning the data layer that makes it all work.

What’s in it for you?

This is what we carefully prepared for you:

• A key role where you’ll make a visible impact in a vibrant scale-up environment.
• Hybrid working + 60 days per year to work abroad.
• A strong onboarding program with hands-on training and a dedicated buddy to set you up for success.
• Mental health support with free sessions from on-demand psychologists (OpenUp).
• Learning budget + 2 extra days off to attend courses or conferences.
• 28 vacation days to rest, recharge, and travel
• Travel reimbursement to our Utrecht HQ.
• Monthly internet & phone allowance to stay connected.
• Dutch courses for our international colleagues.
• Daily warm lunches prepared by our workplace experience team when you’re at our beautiful Utrecht office.
• Pension contribution to help you plan for the future.
• Sabbatical: After two years, enjoy up to three months away (unpaid) to rest, recharge, or see the world.

Do you have experience in Windows?, Do you have a Master’s degree?, * 3+ years of hands-on SQL experience across complex, production datasets; comfortable with window functions, CTEs, and query optimisation across large-scale data warehouses (e.g. BigQuery)

• Proven experience building and maintaining data pipelines, with a solid understanding of data modelling best practices.
• Hands-on with Python and LLM/AI APIs (OpenAI, Google Cloud AI, or similar); familiar with RAG patterns, prompt design, and cloud-native AI services.
• Outcome-obsessed: you care whether the agent’s proposal was accepted, not just whether the data was right; you see user rejection as your most valuable data point.
• A hyper-learner with a people-first mindset; you know the best analysis is worthless if it doesn’t land with the right people.

Pulled from the full job description

• Sabbatical
• Cell phone reimbursement
• Commuter assistance