Marketing Analytics Manager; E-Commerce & CRM

Our national airline client is expanding its in-house marketing and creative organization. They're looking for a senior, hands‑on Marketing Analytics leader to help build how digital performance is measured across E commerce and CRM. This role is 40 hours per week, ideally looking for someone who can come onsite 1-2 days per week at their office in Long Island City, NY.

This is a high‑visibility role supporting a growing team that is bringing more work in‑house. You will work closely with marketing, CRM, and leadership to understand what truly drives revenue and how to scale it. The Marketing Analytics Manager will also support technical measurement implementation, including GA4, Google Tag Manager, event taxonomy, and tracking QA. This engagement is planned as contract‑to‑hire, with conversion expected once headcount opens.

• Build and scale a modern measurement and attribution framework
• Quantify incremental impact across channels, campaigns, content, and on‑site experiences
• Drive tagging strategies and set up of tag management
• Translate performance data into clear revenue impact and forecasting

• Design and execute A/B tests, holdouts, and quasi‑experiments
• Ensure statistical rigor and clear interpretation of results
• Scale insights into broader optimization and testing strategies

• Own dashboards and reporting across daily, weekly, and monthly cadences
• Use Tableau and GA4 to clearly communicate what changed, why, and what to do next
• Serve as the source of truth for E commerce and CRM performance

• Monitor traffic, engagement, and conversion behavior
• Identify trends, anomalies, and inflection points early
• Partner with teams to act quickly, doubling down on wins or addressing declines

• Collaborate with E commerce and CRM teams on analytics needs
• Set best practices for analysis, reporting, and insights
• Help raise the overall analytics maturity of the organization

• Minimum of 6‑8+ years of experience in digital, product, growth, or marketing analytics
• Hands‑on experience executing lift and causal analyses
• Deep experience with attribution and incrementality measurement
• Comfortable operating in ambiguity and owning outcomes
• Expertise in GA4, Google Tag Manager, Tableau
• Advanced SQL skills