Search Quality Data Analyst (Hybrid)

Google; San Bruno (CA); Hybrid; USD 110,000 - 153,000; Full time

Job summary

Google's YouTube team seeks a Search Quality Analyst to help enhance search quality through data-driven insights and collaboration. You will work with complex data to identify patterns and develop improvements in a fast-paced environment.

The role emphasizes testing hypotheses, building robust queries, and communicating findings to diverse stakeholders in a hybrid US-based schedule. A strong foundation in data analysis and SQL/Python is required.

Qualifications

• Bachelor’s degree in CS, Data Science, Statistics, Mathematics or related field with 2 years of experience.
• 2 years of experience in data synthesis for solution generation and action planning, automated system improvement through data analysis, data extraction/manipulation at high volume.
• Proficiency in SQL and Python or R for data analysis.
• Experience with high-volume product data extraction and manipulation.

Responsibilities

• Analyze complex problems using data and statistical methods to identify and prevent fraud.
• Improve tools and automated systems through technical analysis and present findings to stakeholders.
• Generate and test hypotheses to define quantitative metrics that drive logical decision-making.
• Construct accurate queries to interpret data and communicate insights to diverse audiences.
• Identify meaningful signals and behavioral patterns to improve algorithms and address system gaps.

Skills

Data analysis

SQL

Python

R

Data synthesis

Automation

Education

Bachelor’s degree in CS/DS/Statistics/Math or related field

Job description

Google's YouTube team seeks a Search Quality Analyst to help enhance search quality through data-driven insights and collaboration. You will work with complex data to identify patterns and develop improvements in a fast-paced environment.

The role emphasizes testing hypotheses, building robust queries, and communicating findings to diverse stakeholders in a hybrid US-based schedule. A strong foundation in data analysis and SQL/Python is required.