Analytics Engineer in-house

About this role

Responsibilities

• As an Analytics Engineer, you’ll help shape how data is structured, accessed, and used across the business. You’ll work closely with stakeholders to build reliable, scalable data solutions that support smarter decisions.
• As a vital member of our international IT organization, you will be involved in the foundation of our internal product development and will join the cross-functional data team that is responsible for developing and maintaining Netlight's business-critical data platform and strives to decentralize analytics. That is why it is important that you are a self-driven person, who is comfortable with taking initiative and responsibility, as well as a service-minded and communicative team player.
• Who you are:
• A trusted communicator who builds relationships across technical and non-technical stakeholders and translates data into decisions.
• Self-driven and proactive, but also team-oriented, with sound judgment on when to lean on AI tools for speed and when human oversight and design thinking matter more.
• Comfortable working in ambiguity — organized yet flexible, able to adapt as tools, priorities, and team structures evolve quickly.
• A curious, fast learner with a growth mindset — genuinely energized by new tools, AI-assisted workflows, and continuously raising your own technical bar.

Requirements

• We are looking for someone with:
• A degree in a quantitative field (e.g. software engineering, computer science, economics, mathematics, statistics) — if you think you’re a great fit, we want to hear from you!
• At least 2+ years of relevant experience in fields like Analytics Engineering, Data Engineering, Data Analytics, Data Science, or Software Development.
• Strong SQL skills, with hands-on experience building and testing data models in dbt on a cloud warehouse, and an understanding of dimensional data modeling (star schemas, facts and dimensions).
• Solid grasp of version control with Git, including