Data Analytics/Engineering InternAt — Datana LLC
As a Data Analytics Intern, you will contribute to analytics, data operations, and project coordination across the team. Your responsibilities will include: Data Analytics & Reporting • Assisting with data collection, cleaning, validation, and transformation • Conducting exploratory data analysis to identify trends, patterns, and insights • Creating and maintaining dashboards, visualizations, and reports using tools such as Excel, SQL, Python/R, or business intelligence platforms • Summarizing analytical findings through clear written and visual presentations Data Infrastructure & ETL Support • Assisting with the maintenance and improvement of data infrastructure components • Supporting ETL processes, including monitoring, documentation, and troubleshooting • Helping ensure data quality and consistency across datasets and reporting systems • Collaborating with analysts and engineers to improve data ingestion and workflow automation Project Management & Collaboration • Supporting project planning, task tracking, and documentation for analytics-related projects Docusign Envelope ID: 53AD5384-06F5-47DD-B474-65C4E5C72C37 • Participating in team meetings to discuss requirements, timelines, and progress • Coordinating with cross-functional partners to gather needs and communicate updates • Contributing to process improvements and operational efficiency • Performing other duties as assigned to support the analytics and data infrastructure teams
Posted by 01/02/26
Data analytics training, shadowing team members, hands on real use case working sessions
The opportunity is remote, so there are no safety This is a fully remote role with minimal physical safety risks. Students will work from their own home or approved remote location and are responsible for maintaining a safe and ergonomically appropriate workspace. Guidance will be provided on safe remote working practices, including screen use, regular breaks, and workload management. Online safety, data protection, and confidentiality requirements will be clearly communicated, and students will be supported through regular virtual supervision and check-ins to address any wellbeing or safety concerns.
| Type | Frequency | Amount | Explanation | Show to students? |
|---|---|---|---|---|
| Hourly Pay | scheduled | 30 | Yes |
| Hours | Duration |
|---|---|
| 20 | hours per week |