Live opening · Posted 8 days ago
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Description supplied by the original job listing.
Conduct in-depth analyses on shop user behavior to uncover actionable insights
Drive shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements
Shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users' shopping experiences
Provide full-cycle A/B test analytical support to optimize shop performance
Define tracking requirements and support QA of tracking implementations to ensure data accuracy and reliability
Design and implement advanced dashboards, enabling self-service analytics across the organization
Collaborate with multiple stakeholders across the organization to answer shop-related questions with analytical insights, supporting business decision-making
You have at least 3 years of relevant experience
Advanced proficiency in SQL for complex data analysis and querying large datasets
Expertise in e-commerce KPIs and funnel analysis
Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus)
Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports
Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation
Strong understanding of customer segmentation and cohort analysis in the e-commerce context
Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders
Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
Attention to detail and commitment to data quality and accuracy
Excellent communication skills, enabling the translation of complex data analysis into clear, actionable insights for diverse stakeholders
Nice To Have
Working knowledge of a programming language for data analysis (Python preferred)
Experience with big data technologies (e.g., Google BigQuery)
Familiarity with version control systems (e.g., Git)
Employment type
Full-time
Work arrangement
Hybrid
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