Develop long-term forecasting and pricing capabilities that enable profitability and business growth for Google Cloud.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases
- statistical analysis
Responsibilities
- Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
- Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
