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Open nowPosted 3 days ago

Analytics Engineer

Visma5 open roles

Where
Vilnius, Lithuania; Kaunas, Lithuania
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Your applicationOpen nowAnalytics EngineerVisma · Vilnius, Lithuania; Kaunas, Lithuania

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Visma's own form.

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The clock on this job

Early applications get read.

8.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.9%1 day
  2. 4.0%3 days
  3. 8.3%7 days
  4. 15.3%14 days
  5. 34.2%30 days
This job: posted 3 days ago

The posting

ABOUT THE COMPANY

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 — with real investment in making AI a first-class part of how the data organization operates, not an afterthought.

ABOUT THE ROLE

We're looking for an 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'S IT ALL ABOUT?

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 DO WE EXPECT?

  • 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.

NICE TO HAVE

  • Experience in a large, multi-product organization with distributed data ownership
  • Familiarity with data governance, data contracts, or semantic/metrics layer tooling
  • Interest in exploring agentic AI workflows for data engineering tasks
  • Experience with Python for auxiliary tooling or automation

WHAT SHOULD YOU EXPECT?

Technological expertise

  • We love our code clean. 🧽 We review each other's code on a regular basis (unit/integration testing, OOD principles and so much more).
  • We constantly perfect our technological competence through events such as my developers days and cross-platform code reviews and so will You!
  • You’ll be working with the field’s top-notch specialists and one of them will become your “coach”. 💪 Also here in Visma we have an international network of specialists within the organisation to build Your rep and skills even stronger.
  • We have internal knowledge sharing sessions where we learn the newest trends in programming languages, QA, security, etc. 💻
  • We also have our own library and anyone can order new books, as well as use online licences to various learning sites, get certifications, etc. 📖
  • Shaping the future with AI 🤖 - GitHub Copilot, Cursor, CodeRabbit, Gemini, etc. - we use these tools daily.

No-management

  • We, the employees at Visma, make the final call. 📢 You’ll be able to join 1 of 5 committees which steer the company.

Well-being

  • We care about Your physical and mental health, that’s why we will provide You with private health insurance and a chance to seek mental support from our partners if needed. 💆‍♀️💆‍♂️

Comfort

  • When You're feeling like taking a break feel free to use our lounges, nap rooms. 🛋️ You can also take up a relaxing activity such as playing a guitar, playing a video game or express your creativity in our techie corner. 🎮
  • We celebrate Fridays - a variety of different food teams to choose from and it’s on us! 🍕
  • Parking space near the office is free of charge (in Vilnius office parking space depends on your attendance to the office). 🚗 Want to use a greener alternative? During the warm season we also offer credit for renting a CycloCity. 🚲
  • Not enjoying office vibes today? Are you looking for more flexibility than a traditional 9 to 5 schedule? No worries, we have a flexible approach when it comes to work hours and remote work policies.🏘️

Financial expectations

  • Gross salary 4000-5300 EUR. 💸 Keep in mind that we are open to discuss your salary based on your competence and experience.

APPLY NOW!

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