Analytics Engineer

Role Overview

Join a team driving data strategy for one of Europe’s largest software groups, working on platforms like VSIL (Visma Shared Intelligence Layer) and Visma Data Foundation. As an Analytics Engineer, you’ll help shape how data gets modeled, tested, and delivered across Visma.

What You Will Do

Design, build, and maintain robust dimensional data models and transformation pipelines using SQL and dbt in BigQuery. Build and maintain trustworthy, user-friendly dashboards in Data Studio. Perform descriptive, diagnostic, and statistical analyses to surface patterns, operational bottlenecks, and strategic opportunities.

Why It Might Be a Fit

We’re looking for someone who’s genuinely curious about how AI changes the way analytics engineering gets done, with a habit of experimenting and bringing learnings back to the team. You’ll work hands-on across the full analytics stack — from modelling and transformation to dashboards and stakeholder-facing analysis.

Requirements

• Experience working as an Analytics Engineer, Data Analyst, or in a similar role focused on data modelling and visualisation.
• Advanced SQL knowledge and solid, hands-on experience with dbt.
• Practical experience with a major cloud platform (GCP) and a cloud data warehouse (BigQuery).
• Experience with Data Studio or similar BI visualisation tools.
• Comfort with Git/GitHub workflows (branching, PRs, code review).
• Analytical and statistical skills for data profiling, verification, and problem solving.
• Hands-on experience building and maintaining dbt projects — models, tests, documentation, and macros — in a production environment.
• Genuine, active experience using AI tools (Claude, Copilot, ChatGPT, etc.) in a technical workflow — able to speak concretely about how you use them, not just that you have.
• High attention to detail, a proactive approach to risk, and a commitment to data security.
• Adaptability to changing demands and expectations.
• Excellent written and spoken English.

Benefits

• Private health insurance
• Mental support from partners
• Lounges, nap rooms, and techie corner
• Flexible work hours and remote work policies
• Free parking space near the office
• Credit for renting a CycloCity
• Variety of food teams on Fridays
• Internal knowledge sharing sessions
• Access to a library and online learning sites
• Certifications and professional development opportunities