Data Analyst Trainee
HealthAtlas · India
- Hybrid
- Internship
- $30,000 / year
- India
Job highlights
- Gain hands-on experience in data analysis.
- Complete training modules and a live project.
- Develop project reporting and presentation skills.
- Ideal for aspiring data analysts with a degree.
- Opportunity to work with MS Office proficiency.
About the role
Data Analyst Trainee
We are looking for Data Analytics trainees for our upcoming traineeship program.
Traineeship Program Structure:
- Week 1 & 2: Training Modules – Candidates will be completing the learning modules assigned.
- Week 3: Live Project – Candidates will be working on the live project assigned to them by the company.
- Week 4: Project Report – Candidates will be preparing a project report and submit.
Requirements:
- Bachelor’s degree or pursuing.
- Proficiency with computers, especially MS Office.
- High level of accountability and motivation.
- Strong Interpersonal, time and project management, presentation, leadership, and communication skills.
- Creativity and ability to delegate responsibilities.
- Receptiveness to feedback and adaptability.
- Willingness to meet deadlines.
Key skills/competency:
- Data Analysis
- Traineeship
- MS Office
- Project Management
- Communication Skills
- Leadership Skills
- Adaptability
- Time Management
- Accountability
- Problem Solving
Skills & topics
- Data Analyst
- Trainee
- Data Analytics
- MS Office
- Project Management
- Communication Skills
- Leadership
- Adaptability
- Time Management
- Accountability
How to get hired
- Tailor your resume: Highlight your degree pursuit, computer proficiency, and MS Office skills.
- Emphasize soft skills: Showcase your accountability, motivation, and leadership potential.
- Demonstrate project management: Detail any experience with deadlines, time management, or delegation.
- Prepare for interviews: Be ready to discuss your adaptability and receptiveness to feedback.
Technical preparation
Familiarize yourself with MS Office suite.,Understand basic computer operations.,Review common data analysis concepts.,Practice data presentation techniques.
Behavioral questions
Demonstrate accountability and motivation.,Showcase leadership and communication skills.,Provide examples of adaptability.,Discuss how you handle deadlines.
Frequently asked questions
- What are the main responsibilities of a Data Analyst Trainee at HealthAtlas?
- As a Data Analyst Trainee at HealthAtlas, your responsibilities will include completing assigned training modules in the first two weeks, working on a live company project in week three, and preparing a project report in week four. The program is designed to provide comprehensive, hands-on experience in data analytics.
- What educational background is required for the Data Analyst Trainee position at HealthAtlas?
- HealthAtlas requires candidates for the Data Analyst Trainee position to have a Bachelor's degree or be currently pursuing one. This ensures a foundational understanding suitable for the program's curriculum and project work.
- What technical skills are essential for a Data Analyst Trainee at HealthAtlas?
- While the program offers training, essential technical skills for a Data Analyst Trainee at HealthAtlas include strong computer proficiency, particularly with MS Office. A willingness to learn and adapt to new data analysis tools will also be crucial.
- How does HealthAtlas support the development of its Data Analyst Trainees?
- HealthAtlas supports its Data Analyst Trainees through a structured program that includes dedicated training modules, a supervised live project, and guidance in preparing a professional project report. This approach ensures practical skill development and real-world exposure.
- What kind of soft skills are important for a Data Analyst Trainee at HealthAtlas?
- Important soft skills for a Data Analyst Trainee at HealthAtlas include a high level of accountability and motivation, strong interpersonal and communication skills, excellent time and project management abilities, leadership potential, creativity, and receptiveness to feedback and adaptability.