Location: Cairo, Egypt
Full-time 

POSITION SUMMARY

The eCommerce Analytics Specialist will be responsible for managing both Nespresso-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 Nespresso 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.