Marketing Analytics Manager, Global Media Lab


: $65,235.00 - $127,920.00 /year *

Employment Type

: Full-Time


: Advertising/Marketing/Public Relations

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Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the voice of the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end.

As a Marketing Analytics Manager, you will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google's media investment. At Google-scale, this implies working on our industry's toughest challenges. Regardless of geographic location, the role will maintain a global scope and requires working with teams operating across regions and marketing entities.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 6 years of measurement and business analytics experience in a relevant industry.

Preferred qualifications:

  • Experience with experimental design and data-driven measurement solutions.
  • Experience with supervised and unsupervised machine learning approaches for both regression and classification tasks. Understanding of Bayesian modeling framework.
  • Demonstrated experience with conducting quantitative analyses that drive valuable change or optimization in a business context.
  • Track record of marketing research and statistical modeling (causal inference, and regression and classification models).
  • Proficient statistical programming skills (R, Python or SQL) with large-scale multidimensional data.
  • Ability to apply statistical techniques independently to generate practical solutions for business problems in both the big picture and fine details.
  • Provide support in media strategy, measurement, and optimization that require expertise in advanced analytics work.
  • Partner with internal teams in all areas including experimentation, measurement, modeling, and audience science.
  • Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
  • Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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