Combine data from multiple tables to create analysis-ready datasets
Apply data storytelling techniques to present insights logically
Perform Exploratory Data Analysis (EDA) to identify trends and patterns
Handle missing data, duplicates, and inconsistent formats effectively
Optimize reports for performance and usability
Design data models using star schema and relationship management
Clean and preprocess raw datasets in Excel using advanced functions and tools
Use Python (Pandas & NumPy) for data manipulation and transformation
Extract data using SQL queries including filtering, joins, and aggregations
Develop clear and effective data visualizations based on business needs
Create calculated columns and measures using DAX in Power BI
Build interactive dashboards with filters, slicers, and drill-through features
Build reusable Python scripts for data analysis workflows
Prepare professional reports suitable for business environments
Implement ETL processes using Power Query for data integration
Understand the full data analysis lifecycle from data collection to reporting
Deliver complete data analysis projects with documented insights
Structure and manage relational databases with proper design principles
Apply Time Intelligence functions for advanced analytical reporting
Apply data validation techniques to ensure data accuracy and reliability
Business Analyst
Data Analyst
Junior Data Scientist
Reporting & BI Analyst