Lead Analyst, Attribution

About the Role: We are seeking a highly analytical and detail-oriented Lead Analyst to support our US-based attribution modeling capabilities. Reporting to the Sr. Director, you will apply data science techniques to assess marketing activities and estimate their impact on client growth. This role requires hands-on experience in coding, model development, and analytics innovation. You will work on projects such as Media Mix Optimization, Marketing Mix Modeling, Analysis of Covariance (test & control), Cluster Analysis, and Attribution Modeling of disaggregate event-stream data.

Key Responsibilities:
• Manage and oversee data collection processes with clients.
• Develop reports and implement processes to ensure data quality control.
• Drive innovation in analytics to meet and exceed client expectations.
• Implement and refine attribution models to assess marketing effectiveness.
• Interpret, visualize, and present model estimates and diagnostics.
• Contribute to continuous improvement efforts in attribution modeling and analytical methodologies.

Qualifications:
• Bachelor’s degree in statistics, economics, applied mathematics, optimization, computer science, physics, or a related field (advanced degree preferred).
• 2+ years of experience in analytics, with a focus on marketing measurement and attribution.
• Experience working with and measuring TV, digital media, and CRM data.
• Strong knowledge of statistics and data science methodologies, including regression, hierarchical/mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest, etc.).
• Proficiency in Python and R for advanced modeling.
• Experience working in cloud environments, especially GCP and AWS.
• Familiarity with platforms like Databricks is a plus.
• Experience with data visualization tools such as Tableau or Power BI is a plus.
• Strong understanding of marketing objectives and the role of various media channels in achieving them.
• Excellent communication skills, with the ability to present data-driven insights to internal teams and external clients.
• Experience collaborating with global teams to share insights, methodologies, and best practices.