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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about
benefits at Google.
Minimum qualifications:
- Master's degree in a quantitative discipline such as Maths, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 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.
- Experience working with marketing analytics and media data
Preferred qualifications:
- Experience generating practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
- Experience with Bayesian approaches and modeling frameworks.
- Experience delivering analysis, fully automated analytics pipelines or audience segmentation and propensity modeling.
- Experience with experimental design and supervised/unsupervised machine learning approaches for both regression and classification tasks.
- Experience in root cause analysis to ensure that problems are solved at both a tactical and strategic level.
- Applied knowledge of R or Python for statistical analysis and SQL.