Marketing Analytics Lead

Role Overview

• Own marketing measurement strategy across channels and campaigns, including technical requirements and success criteria.
• Define and maintain KPI definitions, metric governance, and reporting standards to ensure consistency across teams and tools.
• Establish an experimentation approach, including A/B testing and multivariate testing, and translate learnings into optimizations.
• Forecast campaign performance and guide budget allocation using historical performance and market trends.
• Build and maintain the marketing analytics infrastructure.
• Integrate data across marketing platforms, CRM systems, and website analytics sources to create a unified view.
• Own data quality: validation, anomaly detection, documentation, and ongoing improvements to accuracy and reliability.
• Maintain/optimize data pipelines and partner with IT/engineering as needed.
• Gather, analyze, and interpret campaign and customer data to identify performance drivers and opportunities.
• Provide clear recommendations on targeting, messaging, creative/testing learnings, and budget allocation to improve ROI and outcomes.
• Develop recurring performance narratives for stakeholders that connect marketing activity to business impact.
• Establish scalable reporting: automated dashboards, standardized reporting views, and self-serve performance tracking.
• Create reports and dashboards to track campaign effectiveness and communicate insights.
• Build visually compelling presentations using tools such as Looker Studio.
• Serve as the day-to-day analytics partner to leadership, media planning/buying, and cross functional teams.

Requirements

• Bachelor’s degree in marketing analytics or related field (or equivalent experience).
• 5+ years of experience in data analysis and marketing analytics (agency experience preferred)
• Strong understanding of marketing metrics and attribution modeling.
• Excellent communication and presentation skills, able to convey complex insights clearly.
• Proven ability to operate independently in a fast-paced environment (high ownership/self-management).
• Experience working with media performance data across paid search, paid social, display, video, programmatic, etc.
• Curiosity around advanced analytics such as attribution, forecasting or testing frameworks.
• Advanced SQL proficiency
• Strong experience with Google Analytics and Google Tag Manager.
• Hands on experience with Funnel.io for data transformation/modeling and dataset management.
• Experience with a marketing data warehouse (preferably BigQuery) and working with integrated marketing datasets.
• Dashboard development and automation experience (Looker Studio).

Tech Stack

• BigQuery
• SQL

Benefits

• Professional development opportunities
• Flexible working arrangements