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  "job_title": "Junior Data Analyst, Shop Analytics",
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  "job_description": "Join our Shop Analytics Team as a Junior Data Analyst, Shop Analytics within the Customer & Shop Intelligence circle cluster and directly impact millions of fashion shoppers’ experiences. You’ll analyze complex e-commerce data to drive product decisions, optimize conversion funnels, and power personalization features that keep users engaged. Working closely with Product Owners and cross-functional teams, you’ll provide full-cycle A/B test analytical support, create tracking concepts, and translate user behavior and shop performance insights into actionable business recommendations. You will conduct in-depth analyses on shop user behavior to uncover actionable insights, driving shop optimization and growth by providing analytical insights to Business and Product Owners and influencing product enhancements. Additionally, you will shape the success metrics for our shop, developing and monitoring KPIs that directly impact millions of users’ shopping experiences. The role involves providing full-cycle A/B test analytical support to optimize shop performance, defining tracking requirements, and supporting QA of tracking implementations to ensure data accuracy and reliability. You will also design and implement advanced dashboards, enabling self-service analytics across the organization, and collaborate with multiple stakeholders to answer shop-related questions with analytical insights, supporting business decision-making. The ideal candidate has knowledge in SQL for complex data analysis and querying large datasets, expertise in e-commerce KPIs and funnel analysis, and a solid understanding of web analytics with experience working with frontend tracking data (GA4 experience is a a plus). Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports is required, along with knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation. A strong understanding of customer segmentation and cohort analysis in the e-commerce context is important. The successful candidate will be proactive and self-driven, with the ability to work independently and drive projects from conception to completion. They will also possess a collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders. A pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions, and attention to detail and commitment to data quality and accuracy are essential. Excellent communication skills, enabling the translation of complex data analysis into clear, actionable insights for diverse stakeholders, are also key. Nice-to-have skills include working knowledge of a programming language for data analysis (Python preferred), experience with big data technologies (e.g., Google BigQuery), and familiarity with version control systems (e.g., Git). Benefits include hybrid working, fresh fruit every day, sports courses, free access to code.talks, exclusive employee discounts, free drinks, language courses, a Laracast account for free, company parties, help in the relocation process, a mobility subsidy, state-of-the-art technology, a central location, flexible working hours, a company pension, professional training, a dog-friendly office, AY Academy, feedback culture, and job bikes. ABOUT YOU emphasizes creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted. They believe a diverse workforce contributes to the ABOUT YOU culture and prioritize physical and mental health. Their values empower acceptance and shape an inclusive, fair, and circular fashion culture. ABOUT YOU looks forward to receiving applications, preferably via their online application portal for a faster process.",
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  "job_posted_at_datetime_utc": "2026-03-05T00:00:00.000Z"
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