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Job Description

Description :


- 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


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