Data Analyst | Senior | Product
nexos.aiLithuania1 day ago
Full-timeInformation Technology
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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.
Core Requirements
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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.
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
- 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 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
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