Data analyst

1. Clean, validate, and audit data for accuracy and consistency.

2. Extract and manipulate large datasets using SQL, Python, or Excel.

3. Analyze trends and generate actionable insights using statistical methods.

4. Create dashboards and reports using Power BI, Tableau, or Excel.

5. Collaborate with cross-functional teams for data-driven decision making.

Overview

• Industry - HR Staffing & Recruitment Firms / Employment Agency / Background - Reference Check Firms
• Functional Area - Data Analytics & Business Intelligence / Statistics
• Job Role - Data Analyst
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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