Analytics Engineer

At Make, we’re moving away from manual dashboards and repetitive ad-hoc data requests toward AI-powered self-service analytics, where anyone in the company can ask a question and get a trusted answer on their own. We’re looking for an Analytics Engineer to help lead that shift.

This isn’t a pure backend role. You’ll sit between data engineering, analytics and the business. You’ll build the models and context that make data reliable, and the AI tools that make it accessible.

Why this role

• Company-wide impact. Your work will change how teams across Make make decisions, not just how one team reports.
• AI at the core, not on the side. You’ll work with Claude every day and build AI assistants and agent workflows that help colleagues answer questions on their own.
• Strong foundations, room to lead. Our core pipelines are built and documented, so you won’t start from zero. You’ll own key areas and shape what comes next.
• Close to the business. You’ll work directly with commercial teams on revenue, retention, sales performance and marketing effectiveness.

What you’ll do

• Build and maintain reusable data models, transformations and pipelines that turn source data into trusted datasets for analytics and operational use
• Define and maintain shared metrics, business rules and documentation, so core metrics stay accurate and people and AI agents interpret data the same way
• Build AI assistants that let colleagues explore data independently, and test that their answers are accurate
• Create reusable agent skills and workflows that automate tasks like development, analysis, validation and documentation, with human review where needed
• Partner with stakeholders: understand the real problem, challenge the request when needed, and ship the simplest solution that works
• Experiment with new AI approaches and share what you learn, inside the team and beyond

What you’ll bring

• Relevant experience. Ideally 3–5 years in analytics engineering, data engineering or data analytics.
• Commercial curiosity. You want to understand how a business works, and you care more about measurable impact than elegant engineering.
• Clear communication. You can explain a technical project to a non-technical colleague without jargon.
• AI-native habits. You use AI tools daily and know how to give them context, break work down and verify the output.
• Strong SQL. You have experience building, optimising and maintaining complex analytical transformations.
• Cloud data warehouse experience. You’ve worked hands-on with a modern cloud data warehouse and understand how modelling and query design affect performance and cost.
• Engineering practices for data. You’re familiar with version control, code review, automated testing and controlled deployment of changes.
• Python and data modelling. You use Python for automation and data processing, and you have a practical understanding of data modelling and pipelines.
• Ownership and a get-it-done attitude. You take initiative, thrive with autonomy, and bring positive energy to the people around you.

Nice to have

• Experience as an Analytics Engineer or Data Engineer, or as a Data Analyst with hands-on pipeline experience
• Familiarity with SaaS/B2B metrics such as ARR, churn, retention and conversion
• Experience with semantic layers, structured company context for AI, or reusable agent workflows

What matters most

Years of experience alone don’t determine success here. We care most about what you can build, how you think and the impact you deliver.

What we offer:

• 📈 RSUs grant in a rapidly growing company raising its value every day
• 💸 Annual bonus
• 🌎 Multinational team creating the future of automation
• 🎓 Learning & Development plan (online language, professional courses, conference tickets and other trainings)
• 🍎 Notebook/Macbook and 34’’ curved monitor, access to a company 3D printer
• 🦒 Height adjustable office desk
• 🏝 25 days of vacation, 4 sick days
• 🫶 10 care days
• 👨‍👩‍👧‍👦 Extra parental vacation (3-6 months) 
• 👶 RSUs grant for a newborn child
• ☂️ Life insurance
• 🏋️ Multisport card
• 💰 Remote working allowance
• 🍍 Snack bar, coffee, tea, fruit and vegetable, and sweets all day - every day - available for everyone
• 🥗 Monday breakfast, Wednesday lunch, and Friday break, with company-provided food and drinks, with music and lively discussion
• 🏡 Flexible working hours + home office 
• 🐕‍🦺 Company therapy pets in Prague's office (dog-friendly office)
• 🥳 Team buildings, parties, and company events multiple times a year

If you see a match, let us know and apply now!

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