As a Measurement Specialist, you will act as an advisor to Google’s largest and most sophisticated advertisers. You will lead the measurement and experimentation strategy, using insights to solve business issues and unlock new avenues for growth during a pivotal moment of industry transformation. You will partner with our clients to guide their measurement maturity and support their business goals. You will build trusted relationships with key decision-makers across analytics, and strategy, and seamlessly partner with Google's sales and product teams. You will be an expert in demonstrating media value through incrementality, Marketing Mix Models, attribution, and Artificial Intelligence (AI) solutions. You will empower investigative clients to modernize their measurement infrastructure by integrating first-party data and adopting privacy-safe best practices, ultimately ensuring their media investments deliver real-world success.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
- Provide support and consulting on client's/partner’s strategy in the areas of sales, marketing or product development, and translate data into answers to business questions or insights to facilitate business decision-making.
- Develop and own investigative modeling for key client/partner projects, apply or customize investigative tools (e.g., dashboards) and frameworks to identify opportunities, and develop solutions to optimize client/partner business and maximize the use and effectiveness of Google products.
- Collaborate with sales teams to drive business growth with clients/partners, conduct in-depth analysis and identify business opportunities, and support the development of go-to-market business pitch and marketing collateral.
- Build and manage relationships with client/partner stakeholders across functions and levels, and own the relationship with the data/investigative stakeholders on the client’s/partner’s side.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in quantifying return on investment and performance impact through quantitative methodologies, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Incrementality testing (e.g., Conversion Lift, Brand Lift), or causal impact analysis.
- 5 years of experience in commercial and technical stakeholder management, collaborating and managing executive stakeholders across commercial (e.g., CMO, Marketing Vice President (VP)) and technical (e.g., Head of Business Intelligence (BI), Head of Analytics/Data Science).
- Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.
Preferred qualifications:
- 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc).
- Experience utilizing AI productivity tools to solve complex, multi-layered problems and streamline business or development workflows.
- Experience leading cross-functional collaboration to land strategic initiatives, leveraging exceptional organizational and project management skills, and the ability to thrive in fast-paced environments and collaborate seamlessly across cross-functional teams, sales pods, product Go-To-Market (GTM), and technical services.
- Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).