Job description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- Experience working in an analytical role in marketing, data science, financial services or management consulting, and driving change in an organization through data.
- Experience using data and analytics through SQL, R, Python, or similar statistical programming languages.
- Experience in measuring A/B experiments, incrementality, and ROI.
Preferred qualifications:
- Experience with qualitative and quantitative consumer research.
- Marketing campaign analytics experience.
- An understanding of Google's products and operating landscape.
- Ability to learn new data analytics languages and methodologies.
- Ability to effectively influence and communicate cross-functionally, and work on multiple projects simultaneously.
About the job
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. 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.
As a Marketing Analyst, you will be responsible for delivering data-driven insights that drive marketing strategies and measurement of marketing effectiveness. By leveraging deep data analysis and user insights you will help unlock new marketing opportunities across Google Consumer facing products. You will sell your recommendations to executive marketing and product leadership to make data driven decisions, and help drive change and growth within our organization. You'll collaborate closely with marketers, analysts, data scientists, and product teams to share strategic insights and campaign best practices.
Responsibilities
- Manage marketing analytics for Consumer products (AI, Shopping, etc). Own the success metrics and measurement plans that statistically explain the incremental impact of marketing campaigns.
- Translate business questions into appropriate analytical projects that will inform strategic and tactical decisions. Conduct end-to-end analysis autonomously and communicate insights effectively.
- Drive analytical insights and recommendations in structured and unstructured data environments. This means working with ease on large, complex data sets, or developing decision making frameworks in situations with limited data.
- Partner cross-functionally with a wide variety of teams and stakeholders including product marketing managers, analysts, and other teams to execute high impact initiatives.