Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Experience with programming languages such as Python or R for data analysis and modeling.

Preferred qualifications:

• Master's degree in Statistics, Econometrics, Data Science, Mathematics, or a related quantitative field.
• Experience with various MMM techniques (e.g. Bayesian MMM, time series regression, Machine learning).
• Experience in developing and implementing MMMs in a business environment, with understanding of statistical modeling techniques, including regression analysis, time series analysis, and causal inference.
• Understanding of the digital advertising and measurement ecosystem (e.g. attribution, experiments, data clean rooms, server-side API).
• Excellent communication skills, with the ability to present complex information to senior and C-level stakeholders.

Responsibilities

• Lead Marketing Mix Modeling (MMM) Modeling and Analysis by consulting on MMM models using Python, R, or other statistical tools. Conduct analysis of marketing data to identify key drivers of performance and provide recommendations. Guide customers through modelling discussions, explaining statistical concepts to both technical and non-technical audiences.
• Serve as a consultant to clients, advising on measurement strategies and best practices. Build and maintain relationships with key stakeholders, including marketing executives and agency partners.
• Collaborate with sales, product, and customers teams to drive momentum on MMM conversations and unblock where needed. Partner with cross-functional teams to develop and implement new measurement methodologies and tools.
• Identify opportunities to improve Google's MMM capabilities and drive innovation in the field. Advocate for the adoption of advanced measurement techniques within the industry.