2026 IT Summer Internship | Nutley, NJ, USA

We are Reckitt

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.

Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

About Supply

Our supply chain is the backbone of our business. It's how we get our trusted products to people all over the world, safely and efficiently. And it's our talented and passionate teams that make this happen.

If you're looking for a career in supply chain, there's no better place to be than Reckitt. We offer a variety of exciting opportunities in all areas of the supply chain, from planning and procurement to manufacturing and logistics. You could join our Global Supply Planning team to develop and implement our global supply strategy, or work with our Procurement Centre of Excellence team to negotiate and manage our supplier relationships.

Our Manufacturing Excellence team help us improve the efficiency, quality and safety of our manufacturing operations, and our Logistics Excellence team develop new and innovative ways to distribute our products to customers.

About the role

As a Data Foundations Intern, you will contribute directly to this buildout — working across cataloging, lineage, governance, and data asset utilization initiatives that span Commercial, Finance, Supply Chain, Media, and Revenue Growth Management. Our Omni program — a multi-retailer analytics solution connecting commercial and media data — will serve as one of your key reference programs, but the scope of your work extends across NAC's full data landscape.

Key Responsibilities

• Data Cataloging
  –    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)
• Data Lineage
  –    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
• Data Asset Utilization
  –    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
• Data Governance
  –    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

The skills for success

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

Internship Details

10-week in-person internship program starting May 2026