We are looking for an enthusiastic and detail-oriented Data Analyst (Fresher) to join our analytics team. If you are passionate about data, eager to work on real-world business problems, and proficient in Python and SQL, we’d love to hear from you.
Responsibilities:
- Analyze large datasets to identify trends, patterns, and insights
- Write efficient SQL queries to extract and manipulate data
- Use Python for data cleaning, analysis, and automation (Pandas, NumPy, etc.)
- Create visual reports using tools or libraries (Matplotlib, Seaborn, or Excel)
- Collaborate with product and business teams to solve data-related problems
- Maintain dashboards and ensure data accuracy and consistency
Required Skills:
- Proficiency in Python for data analysis (Pandas, NumPy, basic scripting)
- Strong command of SQL (joins, aggregations, subqueries)
- Good understanding of data structures and basic statistics
- Strong problem-solving skills and attention to detail
- Effective communication and willingness to learn
Preferred (Good to Have):
- Exposure to BI tools like Power BI / Tableau
- Understanding of Excel/Google Sheets functions
- Internship/project experience in data analysis or related work
Benefits:
- Flexible working hours
- Mentorship and structured training
- Opportunity to work on real business problems
- Friendly and collaborative team culture
Certificate of completion and potential for full-time conversion (if applicable)
