Senior Product Data Analyst

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Position: Senior Product Data Analyst

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.

For one of our clients, we are looking for a Senior Product Data Analyst to join a data-driven business environment where analytics directly supports strategic decision-making and business growth. In this role, you will work with large-scale datasets, develop analytical solutions, and independently drive projects from identifying business needs to presenting insights and recommendations to stakeholders. You will combine strong technical skills with a business-oriented approach, collaborating closely with various stakeholders to turn complex data into actionable outcomes.

B2B contract | Remote (Poland) or hybrid work from Warsaw, Poznań, or Kraków

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


Responsibilities:

  • Develop analytical and automation solutions using Python, SQL, and data visualization tools
  • Work with large-scale and complex datasets to identify trends, opportunities, and areas for optimization
  • Conduct end-to-end analyses, from understanding business needs and defining the scope to presenting findings and recommendations
  • Translate complex data into clear, actionable business insights and recommendations
  • Proactively identify business opportunities and analytical needs rather than working solely on predefined requests
  • Initiate and lead analytical projects, coordinating with relevant stakeholders throughout the process
  • Build and maintain dashboards, reports, and analytical models supporting business decision-making
  • Collaborate closely with business stakeholders and senior managers, effectively communicating analytical findings and influencing decisions
  • Contribute to the development and improvement of analytical solutions and data-driven processes

Must-have requirements:

  • 4+ years of professional experience in data analytics
  • Strong Python skills and hands-on experience writing code
  • Advanced SQL skills and the ability to independently query and analyze large datasets
  • Familiarity with Git/GitHub and collaborative code management
  • Experience working with large-scale and mature data environments
  • Hands-on experience with data visualization tools such as Tableau, Power BI, Looker, or comparable solutions
  • Strong analytical thinking and the ability to translate data into actionable business recommendations
  • Proven ability to work independently and drive analytical projects end-to-end
  • Proactive approach and the ability to identify business needs and propose solutions
  • Strong stakeholder management and communication skills, including the ability to present insights to senior business stakeholders
  • Good command of English, both written and spoken

Nice to have:

  • Experience with Google Cloud Platform (GCP) or another public cloud environment
  • Experience with Airflow
  • Experience with Looker / Looker Studio, particularly creating or working with Explores and business-oriented data models
  • Experience creating data models or analytical data marts for business users
  • Knowledge of pricing and/or experience working with pricing-related data
  • Experience in Advertising, AdTech, e-commerce, banking, FMCG, consulting, or other data-intensive industries
  • Practical experience using AI or Machine Learning techniques to automate or scale analytical solutions

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