Director of Analytics- Attribution & Performance

Job Description

Job Description

Role Summary
The Director, Analytics is a client-facing role responsible for shaping data-driven strategy and advancing modern measurement for an automotive brand. This role will lead attribution and performance measurement strategy, connecting insights to media investment, optimization, and business outcomes. It will transform disconnected measurement outputs into a unified decisioning framework that improves marketing effectiveness and enables smarter growth decisions.

Business Impact
• Build a unified measurement ecosystem connecting attribution, experimentation, MMM, and performance analytics.
• Improve media investment decisions through actionable performance intelligence and optimization guidance.
• Scale learning across campaigns by turning measurement into repeatable business practices.
Key Responsibilities
Attribution & Performance Measurement
• Own the strategy, governance, and evolution of cross-channel attribution and performance measurement.
• Define the right measurement approach—attribution, experimentation, MMM, platform measurement, or other methods—based on the business question.
• Translate measurement insights into recommendations for investment, audience strategy, channel optimization, creative, and growth.
Experimentation & Learning
• Lead the Test & Learn roadmap, converting strategic questions into hypotheses, test plans, success criteria, and analytical outputs.
• Guide incrementality studies, lift analyses, geo tests, holdouts, and other causal measurement approaches.
• Operationalize validated learnings through documentation, decision tracking, and scalable adoption across campaigns.
Measurement Frameworks & Benchmarking
• Develop frameworks that connect business goals, marketing objectives, channel roles, KPIs, and optimization signals.
• Establish benchmarking and goal-setting methodologies across tiers, campaigns, audiences, channels, and funnel stages.
• Maintain standards, documentation, and points of view that create consistency in measurement planning and reporting.
Client Leadership
• Serve as a trusted advisor to marketing, media, and executive stakeholders on advanced measurement strategy.
• Translate complex methodologies into clear business implications and executive-ready recommendations.
• Lead measurement discussions, workshops, and planning sessions while managing risks, expectations, and stakeholder alignment.
Cross-Functional & Team Leadership
• Partner across analytics, media, activation, operations, creative, account, and technology teams to align measurement with business needs.
• Collaborate with external partners, platforms, and measurement providers to validate methodologies and drive execution.
• Lead through influence, creating clarity across teams with diverse priorities, technical depth, and definitions of success.
• Coach and develop talent while fostering curiosity, accountability, analytical rigor, and continuous improvement.

Qualifications
Required
• 8+ years in marketing analytics, media analytics, measurement science, data science, or a related discipline.
• Hands-on experience with attribution, incrementality testing, experimental design, MMM, or performance modeling.
• Strong executive communication skills, with the ability to simplify technical concepts while preserving methodological integrity.
• Bachelor’s degree in statistics, economics, econometrics, mathematics, data science, marketing analytics, business, or equivalent experience.
• Experience with media and measurement platforms such as ad servers, DSPs, analytics platforms, clean rooms, or identity graphs.

Preferred
• Agency or client-side experience in a senior measurement or analytics leadership role.
• Familiarity with Python, R, SAS, SQL, or equivalent analytical environments.
• Experience developing learning agendas, measurement frameworks, benchmarks, or methodology points of view.
• Master’s degree in a quantitative, analytical, or business-related discipline.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.