The Elite Job
Data Analyst Trainee
₹ Check with seller / month
✓ Actively Hiring
📍 Central Delhi
💼 Full Time
🛡️ Verified Listing
⚡ Direct Apply — No Agent
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Job at a Glance
- Category
- Work from home
- Location
- Central Delhi, Delhi, India
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- The Elite Job
- Status
- Open & Active
Job Description
The Elite Job is seeking a motivated and detail-oriented Fresher Data Analyst Trainee to join our dynamic team. In this entry-level position, you will gain hands-on experience in data analysis, interpretation, and visualization while supporting various departments in making data-driven decisions. You will play a crucial role in helping the company harness the power of data to drive strategic initiatives and enhance operational efficiency.
Key Responsibilities
• Assist in collecting, processing, and analyzing large datasets from various sources.
• Develop and maintain reports and dashboards to visualize key performance indicators (KPIs).
• Collaborate with team members to identify data trends, patterns, and anomalies.
• Support data cleaning and transformation processes to ensure data integrity and accuracy.
• Participate in team meetings to present findings and contribute to data-driven discussions.
• Assist in creating documentation and presentations for stakeholder communications.
• Stay updated with industry trends and tools to enhance data analysis capabilities.
• Required Skills and Qualifications
• Bachelors degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
• Basic knowledge of data analysis tools such as Excel, SQL, or Python.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written.
• Ability to work collaboratively in a team environment.
• A proactive attitude and willingness to learn.
• Experience
• This is an entry-level position; no prior experience is required.
• Internships or academic projects related to data analysis are a plus.
• Working Hours
• Full-time position: +:00 AM - 5:00 PM, Monday to Friday.
• Knowledge, Skills, and Abilities
• Strong numerical and analytical aptitude.
• Basic understanding of statistics and data analysis principles.
• Ability to manage multiple tasks and meet deadlines.
• Adaptability and openness to learning new tools and technologies.
• Strong organizational skills and attention to detail.
Key Responsibilities
• Assist in collecting, processing, and analyzing large datasets from various sources.
• Develop and maintain reports and dashboards to visualize key performance indicators (KPIs).
• Collaborate with team members to identify data trends, patterns, and anomalies.
• Support data cleaning and transformation processes to ensure data integrity and accuracy.
• Participate in team meetings to present findings and contribute to data-driven discussions.
• Assist in creating documentation and presentations for stakeholder communications.
• Stay updated with industry trends and tools to enhance data analysis capabilities.
• Required Skills and Qualifications
• Bachelors degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
• Basic knowledge of data analysis tools such as Excel, SQL, or Python.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written.
• Ability to work collaboratively in a team environment.
• A proactive attitude and willingness to learn.
• Experience
• This is an entry-level position; no prior experience is required.
• Internships or academic projects related to data analysis are a plus.
• Working Hours
• Full-time position: +:00 AM - 5:00 PM, Monday to Friday.
• Knowledge, Skills, and Abilities
• Strong numerical and analytical aptitude.
• Basic understanding of statistics and data analysis principles.
• Ability to manage multiple tasks and meet deadlines.
• Adaptability and openness to learning new tools and technologies.
• Strong organizational skills and attention to detail.
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