Description:
Technical Skills * Data Tools: SQL (queries, joins, optimization), Excel/Google Sheets (pivot tables, VLOOKUP, macros). * Visualization: Strong experience in Power BI, . * Databases: Experience with Oracle, TD, SQLSERVER. * ETL: Knowledge of data pipelines, ETL processes Analytical Abilities * Statistical Analysis: A/B testing, regression, descriptive statistics. * Data Cleaning: Handling missing data, outliers, and inconsistencies. * Business Acumen: Translating data into actionable insights (e
Apr 8, 2025;
from:
dice.com