Responsibilities

• Client Relationship Management: Present findings, insights, and methodological approaches to clients across a variety of presentation opportunities.
• Team Operations: Connect across planning, strategy, investment, and technology teams to ensure a holistic understanding of data.
• Audience Discovery and Strategy: Develop fluency in audience definition, creation, and strategy using multiple data sources.
• Measurement and Reporting: Develop measurement strategies and frameworks, set benchmarks based on historical campaign data, oversee reporting, and surface actionable insights.
• Data Strategy and Technology: Build advanced dashboards in visualization tools such as PowerBI and Tableau. Contribute to the Data and Technology Test and Learn roadmap, helping prioritize initiatives tied to business impact.
• Thought Leadership: Draft POVs and internal thought leadership on emerging technologies, platforms, and data capabilities. Stay current on industry trends through ongoing research and training.
• External-Facing Responsibilities
• Build a deep understanding of the client’s strategic priorities, key initiatives, and competitive positioning.
• Construct clear, compelling, and actionable narratives using sophisticated analytics techniques.
• Participate in measurement plan development and execution, including marketing mix modeling and unified measurement approaches.

Requirements

• 5 to 7+ years of experience, preferably in marketing analytics
• Demonstrated knowledge in audience-based marketing and data-driven advertising
• Strong analytical and critical thinking skills with the ability to clarify and resolve strategic and operational issues related to data
• Proven leadership ability and strong client relationship experience
• Excellent communication and presentation skills; ability to translate complex data findings into clear, compelling marketing strategies
• Familiarity with current data privacy regulations and evolving identity solutions
• Ability to train and coach colleagues across areas including analysis, project management, and business writing
• Comfortable working in ambiguous situations
• Ability to think logically and apply quantitative techniques to problems such as campaign analysis, optimization, data management, and predictive modeling
• Bachelor’s degree in math, economics, engineering, social sciences, finance, or business/marketing

Preferred

• Experience partnering with mid-level and junior clients on key deliverables.
• Prior management of teams of 1 or more Marketing Science staff, including Associate Manager and Senior Analyst levels.
• Broad experience with behavioral data and syndicated research data sources, including 1st and 3rd party data solutions.
• Solid understanding of offline and online channel KPIs across cross-channel analytics.
• Application of statistical methods to data analysis, including marketing mix modeling.
• Strong foundation in media strategy, budget setting, and channel selection.
• Experience managing or applying advanced analytics and statistical methods using code.
• Familiarity with AI/ML concepts and their application to marketing measurement.
• Working knowledge of privacy regulations, signal loss challenges (cookie deprecation, ID graphs), and data compliance best practices.
• Experience creating documentation and developing repeatable, scalable processes.