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IT Intern - Enterprise Data & Reporting Jr. Analyst
As an Intern you will be assisting with Data Enablement and Reporting Operations and Enhancements within a cloud environment for Enterprise Data and Reporting solutions, work would include but not limited to:
Essential Job Functions (includes but is not limited to):
- 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.
Qualifications
- 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.
- Exposure to Agile or other project management methodologies is a plus.
Must be authorized to work in the US without sponsorship or assistance from the company
Education:
- 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.