E-commerce Data Analyst (part-time)

At tribe47 we {connect} the dots for our clients, bringing clarity to complex marketing challenges. We provide a 360-degree perspective that inspires bold and innovative action and drives projects' growth and success. But tribe47 is much more than just a company. We are the {team} of young and bold marketers who are crazy about great partnerships and our clients' business growth. We also believe that the best marketers are just like unicorns. Everyone wants one, but they're freakishly hard to find. But fortunately, {we are brave} and ready to find another part-time member - E-commerce Data Analyst (part-time). Are you the one? Let's find out below! What type of people are we looking for? We are looking for a part-time E-commerce Data Analyst who combines business-oriented e-commerce analysis with strong technical web analytics expertise. We are looking for someone who: Has a strong understanding of e-commerce business models and performance drivers. Enjoys working with data from different sources and connecting the dots to see the bigger picture. Can translate complex data into clear, actionable business insights and recommendations. Is comfortable working independently, taking ownership of analytical projects and identifying areas for improvement. Has a detail-oriented and analytical mindset, with the ability to question data and investigate inconsistencies. Understands both the business and technical sides of analytics and can connect marketing performance with actual sales results. Is proactive and able to recommend not only what should be measured but also how to improve the measurement process. Availability: Part-time cooperation, starting in November - ideally from mid-November. What skills and experience are crucial for us? E-commerce analytics: Hands-on experience analysing e-commerce performance, including traffic, conversion rates, AOV, sales trends, seasonality, and new vs. returning customers. Data integration and reporting: Experience combining data from multiple sources, such as an e-commerce platform, GA4, Meta Ads, Google Ads and marketing automation tools, into consistent performance reports. Customer retention analysis: Understanding of repeat purchase behaviour, purchase frequency, time to second purchase and basic customer segmentation. Technical web analytics: Practical experience auditing and troubleshooting GA4 and Google Tag Manager (GTM), including e-commerce events, transaction deduplication and Consent Mode. Tracking and attribution: Ability to identify and investigate discrepancies between advertising platform data and actual store sales, including differences in attribution models, definitions and attribution windows. KPI and measurement strategy: Ability to recommend a reliable source of truth, appropriate measurement models, relevant KPIs and tracking improvements. Business-oriented mindset: Ability to turn analytical findings into meaningful insights and practical recommendations that support business decisions. Independence and ownership: A proactive, structured approach to work, with the ability to independently audit data, identify issues and recommend solutions. Nice to have: Experience with marketing automation platforms. Experience building reporting dashboards that bring together data from multiple sources. Experience working with e-commerce brands or online retailers. And it's not the end! Here's what you can expect from us: 100 - 150 PLN/hour gross (negotiable, depends on agreement). Choice of contract: B2B or mandate agreement (UZ). Full access to digital tools and our knowledge library. Opportunities to integrate with the whole Tribers team. Access to perks: Multisport card on preferential terms. #J-18808-Ljbffr Tribe47