Manager, Social Analytics EMEA

Overview

In this role you will lead regional social analytics, turning fast-moving social data into actionable insights. You’ll work with regional and global partners to shape measurement, KPIs, and AI-driven workflows that drive growth and product impact. You’ll champion data-driven decision making while partnering with marketing, agencies, and leadership to surface meaningful signals. This is a high-visibility role joining a fast-paced, AI-forward team shaping SharkNinja’s regional analytics capabilities.

Pay / Benefits

• health insurance
• retirement plans
• paid time off
• employee stock purchase options
• wellness programs
• product discounts

Responsibilities

• Lead reporting and insights across all social media activity (organic, earned, influencer, and paid) for the region
• Serve as the primary analytics partner for the region with analytical rigor and scalable measurement
• Direct the use of AI agents against social and marketing data to surface signal faster
• Provide fast, actionable analysis to inform regional growth and the next product
• Manage a broad set of stakeholders across regional social, marketing, creative, agencies, and senior leadership
• Define clear, outcome-oriented KPIs that align with business goals (sales and consumer delight)
• Deliver tailored, action-oriented executive reporting and automate recurring outputs where possible
• Establish benchmarks and evolve measurement approaches for the region

Key requirements

• 6+ years of experience in marketing analytics or social media analytics
• Experience with SQL and Snowflake; comfort with AI-assisted analytics tools and agentic workflows a plus
• Strong analytical and spreadsheet fundamentals with curiosity about AI-powered workflows
• Proven track record analyzing social platforms (Meta, TikTok, YouTube, etc.) and translating insights into business actions
• Self-motivated, able to manage ambiguity and multiple priorities in a fast-paced environment
• Stakeholder management
• Strong communication and collaboration
• Adaptability and proactive problem-solving
• SQL
• Snowflake
• AI-assisted analytics tools

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