Description

Drive marketing effectiveness by designing and analyzing experiments to optimize media spend and profitability.

Responsibilities

• Design, implement, and analyze marketing experiments in collaboration with Media channel owners and the Modeling team.
• Own incremental return on ad spend (iROAS) for assigned channels and provide actionable recommendations to improve profitability.
• Feed test insights back into Marketing Media Mix models to ensure continuous improvement.
• Partner with Data Engineering teams to identify bugs, perform root cause analysis, and define technical resolutions.
• Collaborate across teams in multiple time zones, translating technical database discussions into business insights regarding customer behavior.

Required Skills

• 5+ years of experience in Business Analytics or Business Intelligence within paid media channels (SEM, Display, Video, Social) at large e-commerce firms.
• Proficiency in SQL for discovering, aggregating, and extracting data from large datasets.
• 3+ years of experience using Tableau, QuickSight, or Google Analytics for data visualization and business intelligence.
• Strong understanding of A/B testing and scientific experiment design.
• Experience with analytical techniques including trend analysis and forecasting.
• Ability to context switch between technical query discussions and business-level optimization strategies.

Preferred Skills

• Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Finance, or Economics.

Key Skills

Education

Bachelor's Degree