Maintain accurate documentation covering data sources, transformation logic, reporting processes, data lineage, and quality controls.
Qualifications
Currently enrolled in a degree program in Data Science, Computer Science, Information Systems, Business Analytics, Supply Chain Analytics, or a related field.
Proficiency in Python, including experience with Pandas, NumPy, or similar data-manipulation libraries.
Foundational understanding of SQL, relational databases, and data-modeling concepts.
Strong analytical and problem-solving skills with close attention to detail.
Effective written and verbal communication skills.
Ability to work independently, manage priorities, and complete assignments with minimal supervision.
Preferred Qualifications
Familiarity with Microsoft Fabric, Azure Data Factory, Snowflake, or similar data-pipeline and cloud-data platforms.
Intermediate to advanced Microsoft Excel skills, including structured tables, data validation, named ranges, and form design.
Experience developing reports or dashboards in Microsoft Power BI.
Exposure to data-intake, workflow-automation, or form-based data-collection processes.
Basic understanding of data-governance principles, including data quality, documentation, ownership, and lineage.
Experience with Power Automate, Power Apps, SharePoint, or other Microsoft 365 tools.
Comfort collaborating with cross-functional stakeholders in a global business environment.
Physical and Environmental Demands
No special physical requirements beyond those associated with a standard office or remote-working environment.
Travel Required
None.
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