Responsibilities

• Lead analytics planning, prioritization, and day-to-day resource allocation across accounts and initiatives, staying closely involved in execution to ensure quality and consistency
• Serve as a primary client-facing analytics lead within account teams, building trust and acting as a go-to advisor on measurement strategy, performance evaluation, and optimization
• Translate data and media insights into clear, strategic recommendations that connect to business outcomes rather than platform-level metrics alone
• Review and approve client deliverables to ensure accuracy, clarity, and relevance for senior audiences
• Partner with media planning, activation, and strategy teams to ensure analytics informs investment decisions, planning frameworks, and campaign performance
• Lead and directly contribute to advanced measurement approaches including attribution modeling, incrementality testing, experimentation design, and performance modeling
• Guide optimization strategies that improve media efficiency and effectiveness against defined business objectives
• Develop and maintain measurement frameworks, testing roadmaps, and analytic methodologies that bring consistency and scalability to client work
• Collaborate with data science teams on predictive modeling, audience segmentation, and behavioral analytics that inform strategic recommendations
• Identify and apply practical AI and automation opportunities within analytics workflows that improve delivery speed, insight quality, and team efficiency

Requirements

• 8+ years of experience in analytics or business intelligence, preferably within marketing services, media, or digital organizations
• 3+ years of experience leading and developing analytics teams
• Deep understanding of the media and marketing ecosystem, including measurement, attribution, and optimization approaches
• Hands-on experience with business intelligence, analytics, and data visualization tools (e.g., Tableau, Salesforce Marketing Cloud Intelligence, or similar)
• Working knowledge of data automation, data modeling, and analytics infrastructure
• Demonstrated experience applying or partnering on AI- and machine learning-driven analytics solutions
• Strong analytical judgment with the ability to assess data quality, understand methodological trade-offs, and move from insight to action
• Executive presence with the ability to influence and communicate effectively at all levels
• Excellent written and verbal communication skills, including experience delivering executive-level narratives and client presentations
• Comfort operating in a hands-on capacity, including direct engagement with data, reporting tools, and analytics outputs when needed
• Familiarity with modern analytics platforms, cloud-based data environments, and the evolving landscape of AI-enabled analytics tooling
• A consultative mindset with the ability to connect analytical findings to client business strategy and commercial outcomes

Nice to Have

Benefits