Director of Analytics- Attribution & Performance

Socket.dev; El Segundo (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Socket.dev is seeking a Director, Analytics to shape data-driven strategy for an automotive brand, leading attribution and performance measurement across channels and translating outputs into actionable guidance for media investment and growth.

You will drive learning agendas, establish measurement frameworks, and partner with marketing, media, and tech teams to align analytics with business goals and scale impact across campaigns.

Qualifications

• 8+ years in marketing analytics, media analytics, measurement science, data science, or related disciplines.
• Hands-on experience with attribution, incrementality testing, experimental design, MMM, or performance modeling.
• Strong executive communication skills and ability to simplify complex concepts.
• Bachelor's degree in statistics, economics, econometrics, mathematics, data science, marketing analytics, business, or equivalent.
• Experience with media and measurement platforms such as ad servers, DSPs, analytics platforms, clean rooms, or identity graphs.
• Preferred: Master's degree in a quantitative, analytical, or business-related discipline.

Responsibilities

• Own the strategy, governance, and evolution of cross-channel attribution and performance measurement.
• Translate measurement insights into recommendations for investment, audience strategy, channel optimization, creative, and growth.
• 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.
• Develop frameworks that connect business goals, marketing objectives, channel roles, KPIs, and optimization signals.
• Partner across analytics, media, activation, operations, creative, account, and technology teams to align measurement with business needs.

Skills

Marketing analytics

Media analytics

Measurement science

Data science

Education

Bachelor's degree in statistics / economics / econometrics / mathematics / data science / marketing analytics / business

Master's degree in a quantitative / analytical / business-related discipline

Tools

Python

R

SAS

SQL

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.