Data Analyst (E-commerce)

TL;DR

Data Analyst (E-commerce): Conducting analyses to support decisions in pricing, product portfolio, and international expansion with an accent on data-driven recommendations for a large marketplace platform. Focus on combining large data volumes from multiple sources and translating analytical findings into concrete business strategies.

Location: Hybrid in Warsaw, Poland (approximately 4 days onsite and 1 day remote)

Company

hirify.global is a strategic design and implementation consultancy that helps organizations design and deliver impactful digital products, services, and solutions.

What you will do

• Prepare analyses supporting decisions related to product, pricing, portfolio, selection, and offer strategy.
• Analyze price competitiveness, assortment growth, and international expansion opportunities.
• Combine, clean, and structure large data volumes from multiple sources.
• Identify business problems and design analytical approaches to solve them.
• Provide actionable insights and recommendations for business and technical stakeholders.
• Report key metrics and KPIs related to selection processes and foreign market rollouts.

Requirements

• Experience in data analysis, ideally within e-commerce, marketplace, retail, or commercial analytics.
• Very good SQL and Excel skills.
• English: C1 level required for daily project cooperation in an international environment.
• Location: Must be based in or available for hybrid work in Warsaw.
• Employment: Readiness to cooperate under a B2B / contractor model.
• Ability to translate analytical findings into concrete business recommendations.

Nice to have

• Proficiency in Python, Tableau, Hadoop, Google Cloud Platform, Apache Airflow, or Git.
• Experience with international expansion, pricing, or brand portfolio analyses.

Culture & Benefits

• Collaboration on a large-scale project with real business impact.
• Clearly defined scope of services and project goals.
• Access to a modern analytical and technology environment.
• Opportunity to work with experienced stakeholders across business, data, and product domains.
• Initial collaboration period of 3 months with a possibility of extension.