Key Responsibilities

1. Collect, clean, validate, and organize large datasets from multiple sources.
2. Analyze data to identify trends, patterns, and business insights.
3. Create interactive dashboards and reports using Power BI or Tableau.
4. Write SQL queries to extract, manipulate, and manage data.
5. Perform data cleaning and analysis using Python libraries such as Pandas and NumPy.
6. Develop regular MIS reports and performance reports.
7. Work with different departments to understand business requirements.
8. Present analytical findings and recommendations to management.
9. Identify data inconsistencies and suggest improvements in data quality.
10. Support business decision-making through data-driven insights.

Required Technical Skills

- Microsoft Excel: Advanced Excel, Pivot Tables, VLOOKUP/XLOOKUP.
- SQL: Joins, Subqueries, CTEs, Aggregate Functions.
- Power BI: Dashboard Development, DAX, Data Modelling.
- Python: Pandas, NumPy, Matplotlib.
- Statistics: Descriptive Statistics, Probability, Hypothesis Testing.
- Data Cleaning, Data Visualization and Exploratory Data Analysis (EDA).

📌 Data Analyst Fresher ( Hiring For MNC Client ) (Indore)
🏢 Codenera
📍 Indore