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Data Analyst | Senior | Product
Vilnius/Kaunas, LT
Full Time/hybrid
Engineering & Product
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
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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Data Analyst | Senior | Product · Vilnius/Kaunas
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