Senior Product Data Analyst

Join the AI revolution. We’re building an all-in-one AI platform to help teams do their best work and automate every routine task you can think of. We’re looking for problem-solvers to turn powerful AI into an easy, no-code tool for teams everywhere.

We're looking for a Senior Product Data Analyst to own our product analytics infrastructure end-to-end. You'll build and maintain the data tracking, data pipelines, dashboards, and analytics foundations that enable our product team to make data-driven decisions. This is a high-impact technical role for someone who thrives building robust analytics systems and can execute with minimal oversight in a startup environment.

Main Responsibilities:
• Own product analytics infrastructure end-to-end; building and maintaining the data tracking, data pipelines, dashboards, and self-serve reporting that power product insights

• Design and implement data tracking strategy in partnership with Product, Marketing and Engineering teams

• Build and maintain reliable data pipelines and models that power product analytics dashboards and insights

• Create and maintain dashboards and reports that give fast, actionable visibility into user behavior, feature adoption, and product performance

• Work hands-on with engineers to implement data tracking, close instrumentation gaps, and ensure accurate, timely data

• Troubleshoot data quality issues and maintain high standards for analytics accuracy and reliability

• Partner with product teams to translate business questions into data requirements and deliver insights

Core Requirements:
• Proven senior-level experience building and maintaining product analytics infrastructure in a startup or scale-up environment (bonus point for building from scratch)

• Strong track record designing data tracking strategies and partnering with engineers on instrumentation

• Deep product analytics experience (user behavior, funnels, feature adoption, and tying product signals to business outcomes)

• Advanced SQL and scripting skills (e.g., Python); comfortable reading and writing production code and collaborating with backend engineers

• Experience with modern data tooling (e.g., data warehouses, ELT/ETL tools, orchestration, BI tools)

• Ability to work end-to-end and independently - from defining analytics requirements to implementing solutions and driving delivery

• Excellent communication skills with product, engineering, and non-technical stakeholders

• Strong data quality mindset - comfortable validating data, defining metrics, and ensuring analytics reliability

Salary Ranges:
Gross salary is 4500 - 5900 EUR

What We Offer

• Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.
• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.
• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.
• More free time. Stay with us and additional vacation days will be added to your calendar.
• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.
• Flexibility. Flexible working time arrangement.

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