About The Role We are looking for a Senior Analytics Engineer to transform our raw data into a strategic asset. While your DataOps colleagues build the "plumbing," you will own the "logic," designing the high-performance data models that power our financial reporting, product forecasting, and GTM strategy. This role is about more than just writing SQL; you will be the primary link between our technical infrastructure and business leadership, ensuring every department has the reliable, self-service data they need to move fast.

Your 12-Month Journey

• During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt), core business data models, and understand the current pain points in our data flow. You will deliver and optimize your first high-priority models for product usage and financial reporting. You will partner with the Data Engineer to align on the new infrastructure roadmap.
• Within 6 months: you will implement a robust semantic layer to standardize KPIs across the company and enable AI-readiness and advanced natural language querying.
• After 1 year: Fully own the company’s data modeling architecture, ensuring it is prepared for AI and machine learning applications. Act as a strategic advisor to department heads, using data to help shape the company’s long-term growth and forecasting strategies. Maintain a world-class, governed data environment where business users can explore data with confidence.

What You’ll Be Doing

• Strategic Data Product Ownership: Manage the end-to-end lifecycle of our internal data products. You will partner with stakeholders to translate complex business questions into technical requirements, selecting the right tools to ensure our reporting is scalable, accessible, and high-impact.
• Advanced Analytics Engineering: Design, build, and maintain our core data models using dbt Labs. You will own the logic for mission-critical datasets, including financial reporting, churn forecasting, and reverse-ETL flows that sync warehouse data back into our business tools (e.g., Planhat, HubSpot).
• Data Governance & Semantic Layering: Act as the guardian of "The Truth." You will implement data governance standards and build our semantic layer to ensure metrics are consistent across the company.

What You Bring

• Solid experience in Analytics Engineering, Data Analysis, or Data Engineering, with a track record of independently delivering data products that enable reporting, decision-making, and CDP use cases.
• You are an expert in SQL and understand how to write performant, modular code. Familiarity with Python and Git for optimizing and versioning data transformations is a significant advantage.
• Deep, hands-on experience with dbt and BigQuery is a must. You should also be comfortable navigating ELT tools like Airbyte or Fivetran.
• Commercially savvy: you understand the business. You can spot opportunities where data can improve ARR, reduce churn, or optimize spend.

What We Offer

• Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam
• A chance to be part of and shape one of the most ambitious scale-ups in Europe
• Work in a diverse and multicultural team
• €1,500 annual training budget plus internal training
• Pension plan, travel reimbursement, and wellness perks
• 28 paid holiday days + 2 additional days to relax in 2026
• Work from anywhere for 4 weeks/year
• An inclusive and international work environment with a whole lot of fun thrown in!

About Tellent Tellent is a leading Talent Management Suite designed to empower HR & People teams across the entire employee journey. Our all-in-one platform combines an Applicant Tracking System ( Tellent Recruitee ), an intuitive HRIS ( Tellent HR ), and powerful Performance Management software ( Tellent Grow ).

With 250+ team members globally, 7,000+ customers in 100+ countries, and a growing ecosystem of 500+ partners, we help organizations attract, grow, and retain top talent — and we’re just getting started.