Description
We are seeking a Data Analytics Intern to join our team. As a Data Analytics Intern, you will primarily work from an HPE office and assist in various tasks aligned with your field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills.
Responsibilities:
- Develop interactive dashboards using Power BI, Tableau, or similar visualization platforms
- Create clear visualizations that communicate trends, anomalies, and key performance indicators
- Collaborate with stakeholders to understand reporting requirements
- Design executive-ready reports with an emphasis on usability and clarity
- Improve existing dashboards by enhancing performance and user experience
- Develop Python or R scripts to automate repetitive analysis and reporting tasks
- Build scheduled reporting processes
- Assist with exploratory data analysis to identify patterns and opportunities
- Implement automated data validation and exception reporting
- Support predictive analytics and machine learning projects where appropriate
- Design, develop, and maintain ETL/ELT data pipelines
- Acquire, clean, transform, and validate structured and semi-structured datasets
- Build automated workflows for recurring data processing tasks
- Develop reusable data models and standardized datasets for analytics
- Optimize SQL queries and data extraction processes for performance
- Assist in integrating data from APIs, databases, flat files, and cloud storage
- Monitor pipeline health and troubleshoot data quality issues
- Document datasets, schemas, and engineering processes
Education & Experience:
- Currently pursuing a Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field.
Knowledge & Skills:
- Experience with: Python or R, SQL and Microsoft Excel
- Familiarity with: Relational databases, Git or other version control systems, Data cleaning and transformation techniques
- Strong analytical and problem-solving abilities
- Curiosity to learn new technologies quickly
- Ability to explain technical concepts to non-technical audiences
- Excellent written and verbal communication
- Attention to detail
- Self-motivated with strong organizational skills
- Ability to work independently and within cross-functional teams