Data Analyst By-Now

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