Join a dynamic team focused on enhancing the onsite shopping experience for MENA customers. This role is pivotal in scientifically quantifying customer funnels, building essential entitlements, and automating the tracking of shopping events.

This position serves as the cornerstone for data-driven product roadmap development. Success requires applying rigorous analytical and statistical methods to champion customer advocacy and build a robust, evidence-based understanding of quantified customer behavior.

The ideal candidate will excel at translating complex data signals into actionable, science-backed insights that directly influence product decisions. This role emphasizes precision, speed, and depth in a fast-paced, often ambiguous environment.

Partner closely with Product Managers, Technology teams, and Business stakeholders across MENA and global regions to establish feature value through comprehensive experimentation and measurement frameworks.

Influence decision-making by presenting compelling data-driven narratives and leading strategic communication with leaders, underpinned by strong analytical insights.

Automate the daily and weekly tracking of critical shopping events to ensure continuous monitoring and timely reporting on key performance indicators.

Possess a minimum of 3 years' experience in data analysis and interpretation, with proficiency in tools such as Redshift, Oracle, and NoSQL databases.

Demonstrate expertise in data visualization using platforms like Tableau, Quicksight, or similar industry-standard tools.

Showcase a strong background in data modeling, data warehousing, and building robust ETL pipelines.

Familiarity with statistical analysis packages, including R, SAS, and Matlab, is essential.

Proficiency in SQL for data extraction from databases or data warehouses, coupled with scripting experience in Python for data processing in modeling contexts, is required.