Data Analyst - KPO

Data Collection & Cleaning:

- Gather data from multiple sources (databases, APIs, spreadsheets).

- Clean and preprocess data to ensure accuracy and consistency.

Data Analysis & Interpretation:

- Use statistical techniques and data models to analyze trends and patterns.

- Identify insights and provide actionable recommendations.

Data Visualization & Reporting:

- Create dashboards and reports using tools like Power BI, Tableau, or Excel.

- Present findings to stakeholders in an easy-to-understand format.

Database Management & Querying:

- Write SQL queries to extract, manipulate, and analyze data from databases.

- Optimize data storage and retrieval processes.

Collaboration & Communication:

- Work closely with business teams to understand data needs.

- Translate business requirements into analytical solutions.

Automation & Process Improvement:

- Automate repetitive data tasks using Python, R, or SQL.

- Improve data collection and analysis processes for efficiency.

Business Intelligence & Strategy Support:

- Assist in forecasting, performance tracking, and business decision- making.

- Monitor key performance indicators (KPIs) and suggest improvements