IT Intern - Enterprise Data & Reporting Jr. Analyst
United States
Internship
Remote
Intern, Entry Level
Campbell Company has a rich history of connecting people through food since 1869. The IT Intern will assist with Data Enablement and Reporting Operations within a cloud environment, focusing on data assessments, development, and collaboration with analytics teams.
Responsibilities
Conduct data landscape assessments to support business requirements and ensure alignment with organizational goals.
Assist with development using a wide variety of tools and languages, including Python and SQL, to achieve optimal results.
Experience or exposure to ETL tools to create, troubleshoot, and document ETL processes using Informatica and Microsoft Azure Data Factory (ADF).
Review, test, and optimize structured query language (SQL) across platforms such as Snowflake, ADF pipelines, and Informatica.
Knowledge of cloud platforms to support and develop data pipelines in Azure, utilizing cloud services such as Azure Data Factory, Azure Data Lake Storage (ADLS), and Databricks.
Familiarity with data visualization tools to support data modeling and system development for and to create visualizations and reporting using tools like Microsoft Power BI and MicroStrategy.
Collaborate as part of a team to maintain and develop data pipeline solutions, including building new data ingestion processes for the data lake.
Experience with version control systems like Azure DevOps (CD/CI) and Git to collaborate with other team members and maintain code-versions across.
Work closely with the analytics team and service provider teams to foster understanding of the data, business needs, and technical approaches.
Support the integration of data from various sources into the data warehouse to create a unified data environment.
Qualification
Required
Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, Mathematics, Statistics, or a related field.
Must be a current undergraduate, MBA or graduate student graduating in December 2025.
Strong academic performance in coursework related to databases, programming, statistics, data analysis, machine learning, and algorithms.
Conduct data landscape assessments to support business requirements and ensure alignment with organizational goals.
Assist with development using a wide variety of tools and languages, including Python and SQL, to achieve optimal results.
Experience or exposure to ETL tools to create, troubleshoot, and document ETL processes using Informatica and Microsoft Azure Data Factory (ADF).
Review, test, and optimize structured query language (SQL) across platforms such as Snowflake, ADF pipelines, and Informatica.
Knowledge of cloud platforms to support and develop data pipelines in Azure, utilizing cloud services such as Azure Data Factory, Azure Data Lake Storage (ADLS), and Databricks.
Familiarity with data visualization tools to support data modeling and system development for and to create visualizations and reporting using tools like Microsoft Power BI and MicroStrategy.
Collaborate as part of a team to maintain and develop data pipeline solutions, including building new data ingestion processes for the data lake.
Experience with version control systems like Azure DevOps (CD/CI) and Git to collaborate with other team members and maintain code-versions across.
Work closely with the analytics team and service provider teams to foster understanding of the data, business needs, and technical approaches.
Support the integration of data from various sources into the data warehouse to create a unified data environment.
Document processes thoroughly and create technical documentation in line with industry best practices and organizational guidelines.
Leverage data insights, process knowledge, and critical thinking to identify and validate opportunities for possible improvement and automation.
Manage your own workload, ensuring the timely delivery of deliverables, and escalate risks or issues as needed.
Ability to prioritize tasks, manage deadlines, and work independently with minimal supervision.
Communicate analysis results, ideas, and recommendations clearly and effectively, both verbally and in writing.
Must be authorized to work in the US without sponsorship or assistance from the company.
Preferred
Exposure to Agile or other project management methodologies is a plus.
Benefits
Since 1869, we’ve been connecting people through food they love. Our history was created by remarkable people, ideas and innovations.
