**Location:** Cairo, Egypt **Employment Type:** Full-time **POSITION SUMMARY** The eCommerce Analytics Specialist will be responsible for managing both owned and non-owned eCommerce channels, including eRetailers.com sites, in a B2C and B2B context. This role requires a market expert in web intelligence, business performance, and personalization. The specialist will collaborate cross-functionally with digital stakeholders within headquarters and local markets to provide insights and support for local eCommerce and web data analysis. **A DAY IN THE LIFE …** + Analyze web analytics data to optimize online customer experience and maximize sales performance. + Quantify the impact of future decisions to advise on possible outcomes and recommend actions. + Conduct thorough analyses of online customer journeys and eMerchandising across digital touchpoints. + Utilize techniques such as business rules, algorithms, machine learning, and computational modeling for prescriptive analysis. + Answer critical questions regarding website performance, such as reducing bounce rates and improving mobile conversion rates. + Provide insights to optimize digital marketing channels and support A/B testing initiatives. + Develop personalization ideas based on data insights for various customer segments. + Deliver end-to-end eCommerce funnel analysis with actionable recommendations for eChannel strategy. + Identify potential courses of action to enhance performance across online customer journeys. + Leverage various models to contextualize KPIs related to marketing strategies and customer behavior. + Propose advanced KPIs to monitor eCommerce channels and digital activities. + Validate the statistical relevance of A/B testing and personalization hypotheses. + Build revenue forecast models to address market performance challenges. + Co-own personalization and experimentation streams, supporting A/B test preparation and execution. + Maintain and evolve attribution models to guide data-driven media strategies. **What Will Make You Successful…** + Minimum of 2 years in data analysis/data modeling, including clustering and graph theory applications (preferably with eCommerce/web or retail datasets). + Fluent in English is mandatory. + Hands-on experience with data analysis tools (e.g., Python, R), including data extraction, cleanup, and analysis. + Understanding of Google Analytics is essential. + Experience with data visualization tools (e.g., Power BI, Tableau) to present insights in an accessible manner for non-experts. + Proven ability to foster a data-driven mindset within a company, including experience in continuous improvement and A/B testing. + Strong capability to work with various data sources (SQL, APIs, flat files, etc.). + Good knowledge of at least one web analytics tool (preferably Google Analytics, Adjust, Firebase, Adobe, etc.) is essential. + Understanding of web architecture and technologies (HTML, JavaScript) is advantageous. + Experience with mobile app analytics is a significant plus.