Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree
More about this role
- Provide support in media strategy, measurement and optimization that require expertise in advanced analytics work, with focus on marketing analytics methods and data science.
- Improve our understanding of our customers through user segmentation and cohort exploration. Identify and quantify our highest LTV customers, and help us acquire and retain them.
- Design and analyze controlled experiments or counterfactual causal inference studies to examine the incremental impact of our initiatives (marketing and GTM).
- Build the data infrastructure connecting complex first- and third-party user logs to enable your work. Build and improve the infrastructure that you will use for modeling and analysis.
- Work with a range of stakeholders ranging from technical to non-technical. Synthesize and communicate business insights from advanced techniques to executives in simple language.
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- 4...
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