Data Analyst | Mid
nexos.ai · Vilnius, Vilnius County, Lithuania · €38K–€54K/yr
Technology, Information and Internet · 51-200 employees
About the role
The Data Analyst will own the end-to-end product analytics infrastructure, including building data pipelines, tracking strategies, and dashboards. They will collaborate with product, marketing, and engineering teams to translate business questions into actionable data insights.
What they look for
Requirements
Candidates must have proven experience in building product analytics infrastructure and strong proficiency in SQL and Python. The role requires a data-driven mindset with the ability to work independently in a startup environment.
Benefits
Full description
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 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 experience building and maintaining product analytics infrastructure in a startup or scale-up environment
- Designing data tracking strategies and partnering with engineers on instrumentation
- 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 - 4500 EUR per month.
What We Offer
- 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.
