At, we are building the world's first platform where full-stack, on-chain applications are created through natural language. Our mission is to make software creation as simple as a conversation - turning ideas into live, production applications in minutes.
We are looking for a Data Analyst with strong Databricks experience to help define, aggregate, and interpret the data that powers our product and agentic Chat-to-App system. This role sits at the intersection of product analytics and data enablement.
You will ensure that the right events exist, the data model makes sense, and insights can be consumed quickly - not just by analysts, but by engineers, product managers, and leadership.
About the Role
This role goes beyond traditional dashboards. You will:
1. Help design and standardize our event taxonomy across frontend, backend, and AI workflows
2. Own how raw event streams are aggregated, modeled, and exposed in Databricks
3. Use AI-assisted analytics to accelerate insight generation and user journey mapping
4. Enable self-serve business intelligence so non-data experts can confidently explore product health and growth
You'll work closely with Engineering, Product, SRE, and AI teams to turn high-volume system and user interaction data into trusted signals that guide product decisions and build confidence in the platform.
What You'll Do
5. Define and evolve event schemas and naming conventions, guiding engineers on what to instrument and why
6. Build and maintain Databricks pipelines to aggregate raw event data into reliable, analytics-ready datasets
7. Create product funnels, cohorts, and retention analyses for the Chat-to-App lifecycle
8. Develop AI-augmented workflows (e.g., notebooks, summaries, automated insights) to speed up data interpretation
9. Build clear, accessible dashboards and reports that can be consumed by Product, Engineering, and Leadership
10. Translate complex datasets into concise narratives that drive product and platform decisions
Who You Are
11. Bachelor's in Computer Science, Statistics, Mathematics, or a related technical field.
12. 2–4 years of experience in Data Analytics, Product Analytics, or Business Intelligence.
13. Hands-on experience with Databricks (SQL, notebooks, or similar)
14. Strong SQL skills and experience working with event-driven, high-volume datasets
15. Strong communication skills — able to explain data clearly to non-technical audiences
16. Product-minded: you care about why data matters, not just how to query it
Bonus
17. Experience designing event taxonomies or analytics instrumentation frameworks
18. Familiarity with observability data (logs, metrics, reliability signals)
19. Python proficiency for ad-hoc analysis or data tooling
20. Experience at an AI-first or infrastructure-heavy startup
* This is a hybrid role based in our Zurich office, with a requirement of 3.5 days in the office per week.