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Overview The Paid Social Analyst is a junior-level, hands-on role focused on supporting the planning, execution, optimization, and analysis of paid social media campaigns. In this role, you’ll apply foundational paid social knowledge to deliver actionable insights and performance-driven recommendations that help meet and exceed client business objectives. You’ll support innovative, data-informed social strategies while gaining exposure to large, dynamic clients across a variety of industries. Working closely with Paid Social Managers and cross-functional partners, you’ll help ensure campaigns are executed with precision, optimized continuously, and grounded in strong measurement frameworks. Our social team partners with some of the agency’s most high-profile brands, and we’re looking for someone who is curious, analytical, and eager to grow within a fast-paced, collaborative environment. Responsibilities Support day-to-day execution and optimization of paid social campaigns across leading platforms, ensuring alignment with client objectives and best practices Assist in developing and activating paid social strategies, including campaign setup, QA, pacing, and performance monitoring Analyze campaign performance data to identify trends, insights, and optimization opportunities across targeting, creative, bidding, and budgets Partner with the Paid Social Manager to help deliver strategic recommendations and ongoing channel expertise Contribute to campaign reporting by tracking key performance metrics and translating data into clear, actionable insights Support customer, media, brand, and market research efforts that uncover new opportunities and inform future strategies Facilitate knowledge-sharing of results, learnings, and insights with internal teams to drive continuous improvement Collaborate effectively with internal stakeholders across strategy, analytics, and account teams to support integrated media efforts Leverage emerging platform tools and AI-assisted capabilities (e.g., automated bidding, creative testing, and performance insights) where appropriate to enhance efficiency and optimization