Data Product Analyst - Digital Manufacturing
We are Reckitt
Supply
About the role
We are looking for a Data Product Analyst to strengthen our Digital Manufacturing team and ensure that our digital solutions are built on a coherent, scalable and connected data foundation. This role sits at the intersection of manufacturing, data, and digital platforms, with a strong focus on connecting systems, defining data structures, and enabling data‑driven decision-making across our global factory network. The role is critical in ensuring that Digital Manufacturing initiatives translate into consistent, reliable, and scalable solutions — enabling better operational decisions at site level.
Your responsibilities
1. Data Integration & System Understanding
- Map and understand end‑to‑end data flows across: shopfloor systems (PLCs, SCADA), MES and operational systems, ERP (e.g. SAP), data platforms (e.g. Siemens on AWS)
- Define and document: master systems vs. slave systems, data ownership and responsibilities, points of inconsistency or redundancy
2. Data Architecture & Platform Enablement
- Support the design of practical, scalable data architecture
- Ensure alignment between: operational systems, cloud platforms, analytics environments
- Work closely with IT to ensure that solutions are: technically robust, aligned with business needs
3. Connectivity & Data Standards
- Define and enforce: data connectivity standards, data ingestion logic, naming conventions and structuring principles
- Ensure consistency across sites and use cases
- Support integration into the Siemens data platform (AWS) environment
4. Support Digital Use Case Delivery
- Translate business use cases (e.g. performance management, predictive maintenance) into: data requirements, data models, system dependencies
- Work closely with: Digital Product Owners, site teams, IT&D
5. Transparency & Governance Support
- Provide visibility on: data dependencies, readiness and gaps, risks related to data availability
- Support the PMO with: structured inputs, data-related decision support
- Help ensure a single, consistent data logic across the programme
The experience we're looking for
- 2–5 years experience in:
- manufacturing / CPG environment
- data analytics / data engineering / industrial data
- Exposure to:
- supply chain processes (basic understanding)
- digital or IT-enabled manufacturing environments
- Experience with data platforms (e.g. Siemens, Azure, AWS) is a plus
The skills for success
- Degree in: Engineering, Data Science, Industrial IT or a related field
- Basic to solid proficiency in:
- SQL, Python (or similar)
- data modelling
- data pipelines / APIs
- Understanding of:
- cloud environments (AWS desirable)
- industrial systems (MES / SCADA / PLC concepts)
- System thinking: ability to connect data across systems and processes
- Structured approach: translates complexity into clear, usable models
- Pragmatism: focuses on practical solutions, not theory
- Communication: able to interact with:
- factory teams
- IT architects
- business stakeholders
- Curiosity & ownership mindset: strong drive to understand “how things really work”
What we offer
Equality
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