Responsibilities

• Assess performance across organic social, influencer partnerships, and paid social to find opportunities for improvement.
• Support experiment development (e.g., creative, audience, influencer selection) and evaluate results.
• Define and evolve optimizable metrics (e.g., engagement rate, cost efficiency) to guide day-to-day decisions.
• Set quarterly targets, monitor weekly performance, and deliver actionable insights to channel owners and marketing collaborators.
• Translate data into actionable recommendations for content, messaging, and creator strategy.
• Build scorecards and visualization tools to enable ongoing performance tracking and faster iteration.
• Collaborate closely with Organic Social, Influencer, and Paid Social teams to coordinate priorities and insights.

Requirements

• 5+ years in applied data science, analytics, or growth-focused roles with experience in social or digital marketing.
• Strong bias toward action, translating data into changes that improve content and campaign performance.
• Experience with social marketing metrics (e.g., reach, engagement, conversion) and basic attribution concepts.
• Structured problem solver who can break down questions and deliver practical recommendations.
• Ability to translate analysis into clear mentorship for non-technical partners (e.g., content creators, marketers).
• Strong collaboration skills; comfortable partnering closely with channel owners and marketing teams.

Preferred

• Experience working with social media platforms, influencer campaigns, or paid social analytics.
• Familiarity with analyzing content performance or unstructured data (e.g., captions, comments) with emerging AI capabilities.
• Exposure to experimentation (A/B testing) and basic measurement concepts (Incrementality, Attribution, etc.).