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.