Senior Product Analyst

Position: Senior Product 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 Analyst to join a high-energy team focused on driving product decisions through advanced analytics and data-driven insights. In this role, you will independently lead complex analytical initiatives, design and evaluate experiments, define product success metrics, and work closely with cross-functional stakeholders to shape product strategy. This is an opportunity for an experienced analytical professional who combines strong technical expertise with excellent business acumen and communication skills.

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

Responsibilities:
• Lead end-to-end analytical projects that support product strategy and business decision-making
• Translate business objectives into structured analytical frameworks and measurable outcomes
• Design, execute, and evaluate A/B tests and other product experiments
• Analyze large-scale datasets to identify trends, opportunities, and actionable insights
• Define, validate, and maintain product KPIs to support continuous product improvement
• Develop and optimize SQL queries and automated analytical pipelines
• Perform advanced data analysis using Python with reproducible and version-controlled workflows
• Prepare executive-ready reports, decision memos, and data-driven recommendations for stakeholders
• Collaborate closely with Product Managers, Engineers, and Business stakeholders to refine hypotheses and evaluate product performance
• Ensure analytical rigor, methodology consistency, and high-quality documentation
• Leverage AI-assisted analytical tools while maintaining transparency and methodological traceability
• Share best practices and contribute to raising analytical standards across teams

Requirements:
• Proven experience independently delivering complex analytical projects influencing product or business decisions
• Advanced expertise in SQL, including optimization of large-scale analytical queries and automated metric pipelines
• Strong practical experience with Python for reproducible and version-controlled analytical workflows
• Expert knowledge of A/B testing, including experiment design, statistical interpretation, and recommendation development
• Experience translating strategic business goals into structured analytical approaches and actionable recommendations
• Extensive experience defining, validating, and governing product KPIs
• Strong communication and stakeholder management skills, with the ability to present insights to senior business audiences
• Experience working with very large datasets in complex analytical environments
• Experience using AI-assisted analytical tools while maintaining analytical rigor and methodology traceability
• Good command of English (B2+ level or higher)
• Native-level Polish

Nice to have:
• Experience in AdTech, digital advertising analytics, marketplace analytics, or recommendation systems
• Practical experience with causal inference methods beyond traditional A/B testing
• Experience mentoring analysts and establishing analytical standards across multiple teams
• Experience with cloud-native analytics platforms on Google Cloud Platform (GCP)
• Experience with BigQuery, Looker Studio, or Tableau