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Nutley, NJ

Internship

Onsite

$21/hr - $23/hr

Intern

Reckitt is a global leader in hygiene, health, and nutrition brands, committed to making quality access a right for everyone. They are seeking a Data Foundations Intern to support initiatives in data cataloging, lineage, governance, and asset utilization across various business areas. This internship will provide hands-on experience in managing and analyzing data to improve decision-making processes within the organization.

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Responsibilities

Help build and populate a structured data catalog covering key data assets across the NAC organization — documenting sources, owners, definitions, refresh cadences, and access patterns
Work with data and functional teams to identify undocumented or under-governed datasets and bring them into a governed catalog framework
Contribute to tooling evaluation or implementation for catalog management (e.g., metadata tagging, search, classification)
Map how data flows from source systems (retailer feeds, ERP, media platforms, point-of-sale) through transformation layers into analytics and reporting outputs
Document upstream dependencies and downstream consumption for priority data assets — helping the team understand impact when data changes or breaks
Support visualization of lineage across key programs including OMNI, Genesis (Revenue Growth Management), and supply chain reporting
Analyze how existing data assets are being accessed and consumed across teams and programs in North America
Identify underutilized data assets with high potential business value, and surface opportunities for broader adoption
Build simple frameworks or dashboards to track data asset health, usage frequency, and stakeholder coverage
Support the development of data governance standards including ownership models, data quality thresholds, and stewardship
Assist in documenting policies around data access, classification (e.g., sensitive vs. non-sensitive), and retention
Work cross-functionally with domain data owners across Commercial, Finance, Media, and Supply Chain to socialize governance practices

Qualification

Required

Currently pursuing a Bachelor's degree in Data Science, Information Systems, Computer Science, Business Analytics, or a related field
Hands-on experience with SQL and at least one analytics or data tool (Python, R, Tableau, Power BI, Excel/Power Query, or similar)
Strong analytical mindset with the ability to work with ambiguous, real-world data problems
Clear written and verbal communication — comfortable presenting findings to both technical and non-technical audiences

Preferred

Familiarity with data governance or data management concepts (metadata, data dictionaries, data quality, stewardship)
Exposure to data lineage or cataloging tools (e.g., Alation, Collibra, DataHub, dbt, or similar)
Experience with cloud data platforms (Databricks, Snowflake, BigQuery, or similar)
Prior internship, coursework, or project work in analytics, data engineering, or business intelligence
Interest in consumer goods, retail analytics, or enterprise data strategy