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
  
  
  
  
  

View our guidelines for AI usage during hiring process: AI guidelines

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.