• Location
  • Vilnius, Lithuania
  • Last Published
  • May. 19, 2026
  • Sector
  • AI/ML
  • Functions
  • Product
  • IT
  • Data Science
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 date
  • 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
  • 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
  • Hands-on experience with dbt (or similar transformation frameworks) and cloud data warehouses — we use BigQuery on GCP
  • 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

Bonus Point For

  • Experience building analytics infrastructure from scratch
  • Experience with Looker or similar BI tools; LookML or semantic layer development
  • Familiarity with GA4 data structure (event-based schema, BigQuery export tables)

Salary Ranges

  • Gross salary is 3200-5900 EUR per month.

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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