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.
- Ability to build compelling presentations to persuade cross-functional stakeholders.
- Exceptional communication skills and a proven ability to build solid relationships with stakeholders.
- Excellent analytical skills (i.e., SQL, Python).
- Passion for building high-quality user experiences and a commitment to product excellence.
About the job
The Local Ads mission is to enrich the experience of users expressing local intent by connecting them with local businesses and delivering online & offline value to advertisers.
In this role, you will focus on retrieving the most relevant local business matching the user's intent on Search and building innovative ad formats to drive better user engagement and conversions, bringing value to advertisers and Google.
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, finance, engineering, UX design and research closely to support the Local Search 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 and/or qualitative analysis.
