Minimum qualifications:
- Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
- 3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding.
Preferred qualifications:
- Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
- 5 years of experience with designing experiments, developing statistical models, measurement, and identifying business opportunities.
- Experience in architecting and writing analytics code (e.g., data pipelines, data models) and scripts in one or more languages (e.g., Python, R).
- Passion for building high-quality user experiences and a commitment to product excellence.
About the job
In Google Search, we're reimagining what it means to search for information any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Responsibilities
- Partner with product, engineering, UX and more closely to support the Local Ads outlook and charter.
- Drive insights on the performance of the local search ad formats across various segments (e.g., verticals, advertiser spend, campaign types, advertiser goals etc.) to identify new growth opportunities.
- Develop dashboards to monitor health of product portfolio and proactively surface opportunities and insights.
- Drive and recommend data-oriented analysis, architect metrics, synthesize information, solve problems, and influence leadership and business decision-making by presenting insights and market trends.
- Develop hypotheses against an opportunity area or problem statement and test with quantitative or qualitative analysis.
