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 executive and C-level stakeholders.
About the job
Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google's key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
As a Marketing Mix Modeling (MMM) Specialist at Google, you will play a pivotal role in empowering our clients to optimize their marketing investments through advanced statistical modeling and data-driven insights. You will be a trusted advisor, guiding clients through complex MMM analyses, translating technical findings into business strategies, and influencing executive-level decision-making. You will be responsible for driving the adoption of measurement methodologies and fostering a culture of data-driven marketing within Google and our client ecosystem.
Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.
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 modeling 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.
