Product Analyst (Consumer Analytics)

Allegro

Warsaw, Maz, Poland • 33m ago • On-site

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Quick Facts

  • Role: Product Analyst (Consumer Analytics)

Description

As a Product Analyst, you’ll analyze large datasets to uncover patterns and dependencies in key product areas and translate user behavior into actionable strategy. You’ll run analyses such as cohort, trend, customer path, attribution, retention, clickstream analytics, and A/B testing—formulate hypotheses, and present findings and recommendations to stakeholders. You’ll also build insightful dashboards in BI tools to support decision-making.

Responsibilities

  • Analyze large datasets to discover patterns and dependencies affecting key areas
  • Show how user behavior and attitudes shape and evolve
  • Help create business solutions; recommendations will shape product strategy
  • Provide guidance to the organization to improve the customer shopping experience

Requirements

  • Experience working as a Product Analyst / Data Analyst or similar
  • SQL proficiency
  • Basic Python skills to automate analyses and data processing
  • Experience with multiple analysis types, including cohort, trend, customer path, attribution, retention, clickstream, and A/B testing
  • Ability to independently formulate hypotheses and design and conduct analyses
  • Experience analyzing large datasets and presenting findings and recommendations
  • Ability to build insightful dashboards in BI tools (e.g., Looker Studio)
  • English proficiency at least B2 (speaking and writing)
  • Strong stakeholder collaboration and clear communication
  • E-commerce experience is a plus

Benefits

  • Flexible working hours in a hybrid model (4/1), with start times between 7:00 a.m. and 10:00 a.m., plus 30 days of occasional remote work
  • Annual bonus based on individual performance and company results
  • Well-located offices and excellent work tools
  • MacBook Pro (16" or 14") or corresponding Dell with Windows, plus required accessories
  • Fringe benefits via a cafeteria plan (e.g., medical, sports, lunch packages, insurance, purchase vouchers)
  • Paid English classes related to the job
  • Training budget, inter-team tourism, hackathons, and an internal learning platform
  • Additional day off for volunteering
  • Social events and community activities

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