Data Analyst | Senior | Product at Nexos Ai

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.   View our guidelines for AI usage during hiring process: AI guidelines [Upgrade to PRO to see link] 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.