Analytics Engineer

Visma is not just your average company –
we're a leading Norwegian player in the mission-critical business software scene, making a real impact.
Picture us as the folks who find, build, and deliver software that genuinely makes life better for millions of people worldwide.
Our software?
It's the magic wand that simplifies and automates those tricky work processes, giving folks the freedom to enjoy their everyday lives a bit more. Now, here's the cool part – Visma isn't just a company; it's a dynamic network of go-getters, each running their show with that startup flair, unique personality, and strong leadership.
What sets us apart?
Well, each of our companies gets to do its thing – we call it business autonomy. It's like a secret sauce that keeps our growth game strong. Our mission is simple but powerful: we want to empower people by making complex tasks easy. Looking forward, we're not just tech enthusiasts; we're on a mission to shape the future of society through our tech wizardry.
About the Role
We're looking for a
Data Analytics Engineer
to join our Group Data & Analytics team and help shape how data gets modeled, tested, and delivered across Visma. You'll work hands-on across the full analytics stack — from modelling and transformation to dashboards and stakeholder-facing analysis — turning raw, Group-wide data into trusted, well-governed models that power decision-making across the organisation.
This is an AI-heavy role
: you'll be expected to use AI tools as a core part of your daily workflow — not just for writing SQL faster, but for documentation, testing, code review, data modeling design discussions, and increasingly, building AI-assisted or agentic data workflows. We want 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 — not just someone who tolerates it.
What we expect from you:
Data modelling and transformation
Design, build, and maintain robust dimensional data models and transformation pipelines using SQL and
dbt
in BigQuery
Profile, clean, and verify data before publishing; write and maintain
dbt
tests to guarantee quality
Contribute to the design and adoption of a semantic/metrics layer for consistent, governed self-service analytics
Monitor pipeline observability and alerts, troubleshoot failures, and actively reduce technical debt
Analysis and insight
Build and maintain trustworthy, user-friendly dashboards in Data Studio
Perform descriptive, diagnostic, and statistical analyses to surface patterns, operational bottlenecks, and strategic opportunities
Partner with data engineers, analysts, and business stakeholders across the group to define consistent metrics and reusable data models
Advise colleagues on analytics best practices
AI-assisted development and analytics
Use Claude and other AI tools extensively — for code generation, review, documentation, debugging, and testing
Explore and pilot AI-driven approaches to analysis, such as natural-language querying over the semantic layer, and agentic data workflows
Help shape responsible AI adoption in the team: evaluate tools, share what works, and ensure AI-generated code and outputs meet the same quality, security, and governance standards as everything else
Exercise sound judgment about AI-generated output — verify rather than trust, and keep data privacy and confidentiality front of mind
Ways of working
Work as a developer in a Scrum team, using Git/GitHub, code review, and CI/CD workflows
Refine user stories and requirements with the Data Product Manager into technical specifications and deliverables
Maintain technical documentation and release traceability; log bugs and improvement ideas in Jira
Contribute to continual process improvement
Governance and security
Ensure data models and transformations follow established data governance standards, with strict separation of development, test, and production environments
Apply access control, data classification, and data handling protocols, including proper treatment of personal data (PII) and confidential financial and operational records in line with GDPR
What you bring to the table:
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