The individual will support the collection, analysis, and management of large datasets to enhance insights and guide strategic direction for eCommerce services. The role involves uncovering opportunities and evaluating business tradeoffs within large datasets to assist the team in making informed business decisions. Responsibilities include translating complex analytical findings into clear narratives for various stakeholders, including executives and technical teams. The professional will develop and present multiple solution options while explaining associated risks, benefits, and expected impacts. Additionally, the role requires conducting exploratory data analysis to identify trends and anomalies that drive business outcomes. Finally, the individual will work with cross-functional teams to standardize and improve data processes, quality, and availability.

The role requires a minimum of three years of experience working with Python modeling for large datasets and Power BI for building dashboards. Candidates must possess expertise in statistical modeling, including regression testing and predictive modeling. Professional experience in the retail, manufacturing, or eCommerce industries is necessary. Furthermore, the individual must demonstrate the ability to quantify business impact and present findings effectively to diverse stakeholders.