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).
📌 Data Visibility Data Analyst (Mumbai)
🏢 Foundever
📍 Mumbai
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