Responsibilities

• Lead a team of analysts to produce ad campaign measurement, client reporting, clean room engagements, and custom analysis. Coach the team to transform and cleanse data into meaningful analysis for business/sales teams.
• Manage team capacity and prioritize client work across business stakeholders.
• Oversee client facing experimentation, including AB testing and Incrementality, ensuring best practices and standards are met. Act as the knowledge expert on research design and implementation.
• Collaborate with stakeholders to support client growth opportunities through custom analytics deliverables.
• Translate business requirements into SQL queries and Python scripts for ad hoc analysis and custom reporting solutions.
• Identify client ad performance opportunities, trends, and anomalies through data exploration.
• Architect data pipelines to connect different data sources and develop/maintain ETL processes.
• Optimize current code base and reporting solutions, including the application of AI tools like Claude.
• Oversee documentation and ensure best practices.
• Act as a player-coach, managing a team of analysts who develop query scripts and ad campaign performance reports.

Requirements

• 10+ years in engineering/analytics roles, including experience with advertising campaign measurement and incrementality methodologies.
• Degree in computer science/engineering or a quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics).
• 5+ years managing an analyst team.
• Strong technical skills in AWS, Snowflake, and Big Data environments.
• 5+ years of SQL experience.
• Python experience.
• Experience with AI tooling for coding automation.
• AB Testing/Experimentation experience.
• Stakeholder engagement experience.
• BI experience (Tableau, Domo a plus).

Preferred

• Salesforce Experience
• Vendor management
• Clean Room Experience (Snowflake, LiveRamp, InfoSum)