Responsibilities

• Lead analytics planning, prioritization, and day-to-day resource allocation across a portfolio of enterprise client accounts and internal initiatives.
• Stay closely involved in execution to ensure analytics deliverables are accurate, consistent, strategically relevant, and aligned with client business objectives.
• Serve as a primary client-facing analytics leader within account teams, building trusted advisor relationships with senior marketing leaders and executive stakeholders.
• Translate complex media, marketing, customer, and performance data into clear recommendations that connect directly to business outcomes.
• Develop measurement strategies and analytics roadmaps that align media investment with broader organizational priorities and growth objectives.
• Partner with client stakeholders to define KPIs, measurement plans, success metrics, and performance frameworks across paid, owned, earned, and retail media.
• Review and approve dashboards, analyses, presentations, and strategic recommendations to ensure quality, clarity, and relevance for executive audiences.
• Partner with media planning, activation, strategy, and client services teams to ensure analytics informs investment decisions, campaign planning, and ongoing optimization.
• Present analytical findings and recommendations to C-suite executives, senior marketing leaders, and other key client stakeholders.
• Lead and directly contribute to advanced measurement approaches, including Marketing Mix Modeling.

Requirements

• 10+ years of experience in media analytics, marketing analytics, data strategy, customer intelligence, business intelligence, or a related discipline.
• Experience leading analytics within a marketing agency, consulting firm, media organization, or complex enterprise marketing environment.
• 3+ years of experience directly leading, mentoring, and developing analytics teams.
• Deep understanding of the media and marketing ecosystem, including measurement, attribution, experimentation, optimization, audience strategy, and cross-channel performance.
• Demonstrated experience advising executive stakeholders and presenting analytics, measurement strategies, and business recommendations to senior client leadership.
• Strong experience across several advanced measurement disciplines, including Marketing Mix Modeling, Multi-Touch Attribution, incrementality testing, experimentation, media effectiveness, digital analytics, customer analytics, retail media analytics, or audience measurement.
• Hands-on experience with business intelligence, analytics, reporting, and data visualization tools such as Tableau, Power BI, Looker, Salesforce Marketing Cloud Intelligence, or similar platforms.
• Working knowledge of SQL and experience with Python, R, or comparable analytical programming tools.
• Familiarity with modern cloud data environments and platforms such as Snowflake, Databricks, BigQuery, Redshift, or similar technologies.
• Working knowledge of data warehousing, data integration, automation, data modeling, and analytics infrastructure.