Data Analyst Trainee
- Category: Work from home Jobs
- Location: Central Delhi, Delhi
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 20K to 23K
- Published on: 2025/09/16
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.
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