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Senior Manager, Digital Analytics (Ecommerce) (Ref: 194381)
Senior Manager, Digital Analytics (Ecommerce) (Ref: 194381)Forsyth Barnes • New York, NY, US
Senior Manager, Digital Analytics (Ecommerce) (Ref : 194381)

Senior Manager, Digital Analytics (Ecommerce) (Ref : 194381)

Forsyth Barnes • New York, NY, US
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Job Title : Senior Manager, Digital Analytics (Ecommerce) (Ref : 194381)

Location : New York, NY (3 days / week onsite)

Salary : $140,000-160,000 + 15% Bonus

Contact : nicholas.david@forsythbarnes.com

Unfortunately for this role we cannot sponsor candidates now or in the future, therefore can only consider permanent residents or US Citizens.

Our client, a leading retailer specializing in jewelry and watches, is known for its innovative approach to e-commerce and strong technological foundation. They operate two esteemed brands that enhance the online shopping experience and streamline the supply chain for manufacturers, retailers, and consumers.

The organization is seeking a Senior Manager of Digital Analytics to lead e-commerce analytics initiatives and optimize strategies that drive the online business. The ideal candidate excels at turning complex data into clear, actionable insights that elevate marketing efforts and improve customer journeys.

Requirements

  • 6 + years of experience in e-commerce analytics, marketing analytics, or a related domain.
  • Demonstrated proficiency in Google Analytics 4, Google Tag Manager, and best practices in e-commerce tracking.
  • Strong command of SQL and Tableau for data manipulation and visualization.
  • In-depth understanding of attribution models (MTA & LTA) and experimental design (A / B testing).
  • Experience working in High-Sku Ecommerce organizations.

Key Responsibilities

  • Website Optimization

    • Analyze current site layouts to identify enhancement opportunities that improve user experience and boost conversion rates.

  • A / B Testing : Formulate and deploy robust experimental frameworks to measure the effectiveness of product placements, messaging, and user flows.
  • Marketing Analytics : Manage comprehensive analysis of the conversion funnel, focusing on vital metrics such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), and customer retention.
  • Clustering and Segmentation : Develop meaningful consumer and product segments to inform targeted marketing and merchandising strategies.
  • Dashboarding & Reporting : Design innovative dashboards that provide insights into e-commerce performance throughout the customer lifecycle.
  • Financialization

    • Transform basic performance data into actionable financial metrics, enabling ongoing optimization of e-commerce strategies.

  • Insights : Address analytical requests and effectively communicate critical findings to relevant stakeholders.
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