JustJoin.IT Praca zdalna Mid

Product Analyst

NEXA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

⚲ Poznań, Warszawa

Do uzgodnienia

Wymagania

  • SQL
  • ETL
  • Python
  • Tableau
  • Data Studio

Opis stanowiska

Position: Product AnalystPreferred candidates are based in Poznań or Warsaw, with occasional and flexible office visits depending on business needs and workshop effectiveness. Candidates from other locations are also welcome, provided their experience and availability align well with the role requirements.

At neXa, we’re not just building digital solutions — we’re helping businesses grow smarter. We work with forward-thinking clients across industries to design, build, and implement technology that makes a real difference. From intelligent automation to custom applications, our projects are as diverse as our team.

We’re now looking for a Product Analyst to join a high-energy team focused on building and improving data-driven digital products. In this role, you will work with product teams to define data requirements, analyze user behavior, and transform complex datasets into actionable recommendations. You will play a key role in establishing reliable data foundations, creating analytical solutions, and supporting product decisions through meaningful insights.

Scroll down to see the full job description, including responsibilities and requirements:

Responsibilities:
• Define data requirements and establish effective data contracts supporting product initiatives
• Collect, process, and analyze product data from multiple sources Build and maintain analytical datasets and aggregated metrics
• Develop recurring ETL processes to ensure reliable and consistent data flows
• Analyze clickstream data to understand user behavior and product performance
• Create dashboards and reports supporting product managers and business stakeholders
• Translate analytical findings into clear recommendations and actionable insights
• Collaborate with Product Managers, Data teams, and other stakeholders to support data-driven decisions
• Monitor key product metrics and identify opportunities for optimization
• Support the development and improvement of analytical processes and reporting standards

Requirements:
• Strong SQL skills and experience working with complex data queries
• Experience creating and maintaining recurring ETL processes
• Practical experience analyzing clickstream data and user behavior patterns
• Experience with data visualization tools such as Data Studio, Tableau, or similar
• Ability to independently analyze data and translate findings into business recommendations
• Experience working with product analytics and supporting product decision-making
• Strong analytical thinking and attention to data quality
• Good command of English and Polish (B2+ level or higher)

Nice to have:
• Experience with GA4 and web analytics
• Knowledge of Python for data processing and analytical workflows
• Experience analyzing e-commerce products and user journeys
• Familiarity with product metrics and experimentation approaches
• Experience working with large-scale datasets

🔍 Dekoder Ogłoszenia

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occasional and flexible office visits depending on business needs and workshop effectiveness
Może oznaczać częstsze wizyty w biurze niż sugeruje słowo 'occasional', jeśli 'business needs' będą tego wymagać.
🔴
Candidates from other locations are also welcome, provided their experience and availability align well with the role requirements.
Choć mile widziani są kandydaci z innych lokalizacji, preferencja dla Poznania/Warszawy może oznaczać, że będą oni traktowani priorytetowo lub że oczekuje się od nich większej elastyczności w kwestii podróży.
🔴
high-energy team
Może sugerować szybkie tempo pracy i wysokie oczekiwania co do zaangażowania, a niekoniecznie tylko pozytywną atmosferę.
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transform complex datasets into actionable recommendations
Wymaga umiejętności nie tylko analizy danych, ale także skutecznego komunikowania wyników i wpływania na decyzje biznesowe.
🟡
establish reliable data foundations
Może oznaczać potrzebę budowania lub poprawiania istniejącej infrastruktury danych od podstaw, co może być czasochłonne i wymagać pracy nad procesami.