Head of Advertising Analytics

What you'll do

• People Management: model culture and values, coach team objectives and outcomes, attract and retain talent, invest in growth
• Application of Data: evaluate data sufficiency, resolve data quality issues, coordinate cross-team collaboration and data sharing
• Data Analysis: build best practices, guide complex analyses, ensure recommendations are accessible and aligned with client and business needs
• Data Privacy and Governance: uphold and apply data privacy and governance rules, identify and share best practices
• Continuous Improvement, Efficiency, and Innovation: develop methods for systematic efficiencies, automate reporting and analysis, share thought leadership
• Orchestration and Collaboration: establish strategic relationships to ensure high-quality data sources and tools, share expertise across teams
• Presentation of Results: guide development and delivery of client-facing presentations, synthesize insights into stories to influence decision-making
• Understanding Client's Business: advance understanding of clients' business, industry trends, competitive landscape, and build connections with client leadership

Requirements

• Experience in statistics, mathematics, analytics, data science, data analysis and reporting, business intelligence, business and financial analysis, or related field or equivalent experience
• Experience using tools such as PowerBI/Tableau, DAX, R, SQL for data manipulation and visualization on large datasets
• People management experience
• Effective communication of complex analyses to both technical and non-technical partners and clients
• Experience utilizing analytical tools to turn massive, dynamic datasets into actionable insights
• Experience pairing data visualization with storytelling to deliver persuasive presentations influencing varying audience levels
• Experience conducting, interpreting, and communicating measurement analyses (e.g., incrementality, attribution, lift studies) to inform client decisions
• Proficiency using PowerBI/Tableau, DAX, SQL for data manipulation and visualization
• Working knowledge of Python, R, PowerPivot, Microsoft Advertising API is a plus
• Solid knowledge of statistics, predictive modeling and data clustering/classification techniques
• Preferred: Experience in partner or account management/client service/client-facing role
• Preferred: Experience in EMEA market
• Preferred: Experience in digital media, data analysis, and data management

Tech stack

Benefits