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.

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.