Campbell's is seeking a Data and Analytics Engineer intern to gain hands-on experience in Analytics, Data Platforms, and Data Quality, utilizing cutting-edge tools and working within Agile environments to solve data-related challenges.
Requirements
- Basic understanding of data concepts and familiarity with spreadsheets or database tools (e.g., Excel, SQL).
- You will have the opportunity to learn and work with cutting-edge tools such as Databricks, Reltio, Data.world, and Power BI
- Hands on training and exposure to modern tools such as Power BI, Databricks, Reltio, and Data.world
- Exposure to industry-leading data tools and platforms.
- You will get experience working on Cloud-based/SaaS infrastructure solutions.
Responsibilities
- Develop Dashboards and Reports : Utilize Power BI and other analytics platforms to create insightful dashboards and reports.
- Support Data Quality Initiatives : Identify anomalies, inconsistencies, and opportunities for improvement in data quality.
- Document Data Processes : Help document data sources, processes, and metrics for reporting and governance purposes.
- Collaborate with Agile Teams : Work with cross-functional Agile teams to deliver analytics solutions and learn Agile methodologies.
- Participating in Agile Processes : Engage in regular sprint meetings, stand-ups, and retrospectives as part of the Agile process.
- Explore Advanced Data Tools : Leverage advanced data tools such as Databricks, Reltio, and Data.World under the guidance of senior team members.
- Contribute to Workflow Improvement : Assist in the continuous improvement of analytics workflows and data quality standards.
Other
- Current undergraduate or graduate student in Computer Science, Information Systems, Business Analytics, or a related field.
- Strong analytical skills and attention to detail.
- Excellent communication and teamwork abilities.
- Self-motivated, eager to learn, and able to manage multiple tasks in a fast-paced environment.
- expected graduation date 2026
