Lead Analyst

What you'll do

• Lead development and implementation of advanced marketing measurement solutions including Media Mix Modelling, Multi-Touch Attribution, and econometric models
• Oversee and mentor a team of analysts
• Perform panel data analysis using fixed effects, random effects, mixed effects models, with or without Bayesian Framework
• Drive econometric modelling process including model evaluation, selection, and interpretation
• Collaborate with cross-functional teams to translate business requirements into marketing measurement strategies
• Ensure data integrity and accuracy from collection to model deployment
• Evaluate marketing campaign effectiveness by analyzing ROI/ROAS, response curves, and performance metrics
• Stay updated with latest marketing measurement trends and tools
• Provide thought leadership on marketing channels, performance metrics, and conversion funnels
• Utilize advanced knowledge of Bayes’ theorem, Shapley value, Markov chain, response curves, marginal ROI, halo effect, and cannibalization
• Manage data QA and manipulation tasks to ensure data readiness
• Leverage cloud platforms for data storage, processing, and analysis
• Prepare and present results to clients, recommend solutions, and pursue advanced marketing measurement solutions
• Identify and tap additional revenue opportunities through innovative measurement services
• Guide team on business optimization problems using optimization algorithms

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field
• Master's degree preferred
• 5-6 years experience in marketing measurement and attribution
• 1-2 years experience in a lead role
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills
• Ability to assess and validate Attribution solutions and suggest improvements
• Advanced proficiency in R or Python for data manipulation, modelling, and visualization
• Proficiency in SQL for data handling
• Expertise in data visualization tools such as Tableau, PowerPoint, and Excel
• Exceptional storytelling skills to generate insights and strategic recommendations
• Proven leadership and team management skills
• Experience working with cloud platforms (AWS, Google Cloud, Azure)
• Excellent client-facing skills
• Strong business acumen
• Experience with optimization algorithms

Tech stack