FAQs
What are the minimum qualifications for the Head of Data, Measurement and Analytics position?
The minimum qualifications include a Bachelor's degree or equivalent practical experience, 15 years of experience in data analytics, strategy consulting, media measurement, experimentation or incrementality, and experience in a sales leadership and people management role, including coaching, mentoring, and team development.
What preferred qualifications should a candidate have?
Preferred qualifications include experience with marketing analytics tools (e.g., experimentation frameworks, attribution models), leading cross-functional operational and strategic initiatives, expertise in identifying broad problems and translating them into tactical projects, understanding of statistical and analytical methods, and the ability to effectively influence and communicate cross-functionally.
What are the main responsibilities of the Head of Data, Measurement and Analytics?
The main responsibilities include providing support and consulting on strategy, developing and owning analytical modeling for key client projects, collaborating with Sales teams to drive business growth, and building and sustaining a high-performing team.
Who will I be partnering with in this role?
In this role, you will be partnering closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands.
What does the job entail in terms of client interaction and strategy development?
The job entails consulting on clients’ strategies in sales, marketing, and product development while translating data into insights to facilitate business decision-making and optimizing the use and effectiveness of Google products.
Is there an opportunity for team management in this role?
Yes, this role involves building and mentoring a high-performing team, specifically Analytical Leads (ALs) and Data Transformation Leads (DTLs) to deliver impactful, growth-driven work.
Does Google offer equal employment opportunities?
Yes, Google is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Is experience with statistical approaches necessary for this position?
Yes, an understanding of common statistical and analytical methods is a preferred qualification to address business challenges in this role.
What tools and skills are recommended for this position?
Recommended tools and skills include experience with SQL, R, Python, experimentation frameworks, attribution models, and analytical tools like dashboards.
Is this position suitable for someone without a sales leadership background?
The position requires experience in a sales leadership and people management role, so it may not be suitable for someone without this background.