Data Analyst | Mid - senior | Product

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.

• 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

• 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
• Wide analytics experience (product, marketing)
• 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

Nice to have

• 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)

• Professional growth. Internal and external events, online training, conferences, books - everything you need to reach your full potential.
• Health benefits. Private health insurance, online & on-site workouts (LT) / online workouts & sports access card (PL), 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.