5+ years of experience in data analysis or engineering involving large amounts of different types of dataStatistical analysis: Experience with hypothesis testing, A/B testing, and other statistical methods.Programming & data manipulation: Proficiency in at least one programming language for data cleaning, transformation, and analysis.SQL: Strong skills in writing and optimizing SQL queries to extract and aggregate data from databases.Data visualization tools: Experience with business intelligence tools such as Tableau, Power BI, Looker, or similar.Spreadsheets: Solid experience using Excel or Google Sheets for quick analysis and pivot tables.ETL & data workflow: Basic understanding of ETL processes and tools to move data from different sources into a usable format.
Deadline:01 Dec 2026