Summer Student - Data Analyst Intern

Summary: As a Data Analyst Intern, you will have the opportunity to learn and contribute to the field of data analysis by supporting the team in gathering requirements, exploring data, and providing valuable insights to inform decision-making. This internship will focus on developing your skills in requirements gathering and translating business needs into actionable analyses.

Qualifications:

Current enrollment in a degree program, preferably in Statistics, Mathematics, Computer Science, or a related discipline.

Basic understanding of data analysis concepts and a strong willingness to learn.

Familiarity with data analysis tools such as SQL, Python, or R is a plus.

Good communication and interpersonal skills.

Ability to work both independently and collaboratively in a team-oriented environment.

Preferred Skills:

Eagerness to learn and contribute in a dynamic work environment.

Interest in business intelligence tools (e.g., Tableau, Power BI).

Basic knowledge of data warehousing concepts and ETL processes is a plus.

1. Requirements Gathering:
• Collaborate with team members to understand data and reporting requirements.
• Assist in conducting interviews, workshops, and surveys to collect and document data needs.
• Learn to translate business questions into data analysis tasks and define clear objectives.
2. Data Collection and Exploration:
• Support the identification and collection of relevant data from various sources.
• Assist in cleaning and preprocessing data to ensure quality and suitability for analysis.
• Learn to explore data to identify patterns, trends, and potential insights.
3. Analysis and Reporting:
• Gain hands-on experience in performing basic data analysis using statistical methods and tools.
• Contribute to the development and maintenance of basic dashboards, reports, and visualizations.
• Ensure that analytical outputs align with business requirements.
4. Collaboration:
• Work closely with team members to understand their needs and contribute to data-driven solutions.
• Develop effective communication skills with both technical and non-technical stakeholders.
5. Quality Assurance:
• Learn to validate data analysis results to ensure accuracy and reliability.
• Contribute to the implementation and maintenance of data quality standards.
6. Continuous Learning:
• Stay curious and stay informed about industry trends and best practices in data analysis.
• Proactively seek opportunities to enhance data processes and reporting capabilities.

We offer:

Paid training

Free Parking

On-site Fitness Room

Clean, professional environment

Valuable hands-on experience in data analytics

Hybrid working environment.