About the job
Job Title: Trainee Engineer- Data Analytics
Experience- 0-1 year
Location: Noida
Job Description
We are seeking a motivated Cloud Data Analytics Trainee to join our team. The ideal candidate will have a strong interest in data analytics and cloud technologies. This role involves supporting the data analytics team with tasks related to cloud-based data analytics and reporting.
Key Responsibilities
- Data Collection and Integration:
- Assist in gathering and integrating data from various cloud-based sources.
- Support the team in setting up data pipelines and ensuring data accuracy.
- Data Analysis:
- Help in analyzing data to generate insights and support decision-making.
- Utilize cloud-based tools and platforms for data analysis and reporting.
- Cloud Analytics Tools:
- Gain experience in using cloud-based data analytics tools such as AWS Azure etc.
- Assist in creating and maintaining dashboards and reports using these tools.
- Data Visualization:
- Support the creation of visualizations to represent data trends and insights.
- Utilize tools such as Power BI, Tableau, or similar for data visualization.
- Reporting:
- Assist in preparing reports and presentations based on data analysis.
- Help in maintaining and updating analytics reports and dashboards.
- Documentation:
- Document data analysis processes, methodologies, and findings.
- Ensure clear and accurate documentation for future reference and knowledge sharing.
- Learning & Development:
- Participate in training sessions to enhance knowledge of cloud data analytics tools and techniques.
- Stay updated with the latest trends and best practices in cloud data analytics.
Qualifications
- Education: Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field. (Recent graduates or those with relevant coursework are encouraged to apply.)
- Skills:
- Basic understanding of data analytics principles and cloud computing concepts.
- Familiarity with data analytics and visualization tools (e.g., Power BI, Tableau, Excel).
- Proficiency in SQL and basic programming skills (Python, R, etc.) is a plus.
- Soft Skills:
- Strong analytical and problem-solving abilities.
- Attention to detail and accuracy in handling data.
- Effective communication skills and the ability to work collaboratively.
- Eagerness to learn and adapt to new tools and technologies.