Data Visibility Data Analyst

Job description

**Technical & Tools:** - Advanced SQL: Ability to write complex queries (JOINS, Subqueries, CTEs, Window Functions). - Data Visualization: Expert in Power BI. Ability to build interactive dashboards. - Advanced Excel: Pivot Tables, VLOOKUP/XLOOKUP, Index-Match, Conditional Formatting, basic Macros. **Analytical Skills:** - Data Cleaning & Wrangling: Ability to find missing values, handle outliers and structure messy data. - Statistical Analysis: Basic understanding of averages, distributions, variance and correlation. Nice-to-Have Skills (Differentiators) Technical & Tools: - Programming: Python (Pandas, NumPy, Matplotlib) or R. - Cloud/Data Warehousing: Experience pulling data from Snowflake, Amazon Redshift, Google BigQuery or Azure. - ETL Tools: Basic knowledge of tools like Alteryx, dbt . - Version Control: Git/GitHub (shows they collaborate well with engineers).