Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
5+ years of professional experience in a data analysis or business intelligence role.
Expert-level proficiency in SQL with a proven ability to write complex queries, perform window functions, and optimize queries for performance on massive datasets.
Strong understanding of data architecture, including data warehousing, data modeling (e.g., star / snowflake schemas), and ETL / ELT principles.
Excellent communication and interpersonal skills, with a track record of successfully influencing stakeholders.
Experience with a business intelligence tool such as Tableau, Looker, or Power BI to create dashboards and visualizations.
Experience with internal Google / Alphabet data tools and infrastructure, such as BigQuery, Dremel, or Google-internal data portals.
Experience with statistical analysis, A / B testing, and experimental design.
Familiarity with machine learning concepts and their application in a business context.
A strong sense of curiosity and a passion for finding and communicating insights from data.
Proficiency with scripting languages for data analysis (e.g., App scripting, Python or R) would be an added advantage