Data Product Analyst - Digital Manufacturing

Reckitt
Slough
Workplace: OnsiteFull timeFunction: Manufacturing & Production OperationsEducation: bachelorsSkills: ["Communication","Problem-solving","Curiosity","Ownership","Team collaboration"]

Data Product Analyst to connect shopfloor and ERP data across Siemens on AWS and other platforms, defining data structures and governance to enable data-driven decisions across Reckitt’s global factory network. You will map data flows, design scalable data architecture, ensure data standards, support digital use cases, and collaborate with IT, site teams and Digital Product Owners to deliver robust data solutions.

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Reckitt
Reckitt
2 months ago

Data Product Analyst - Digital Manufacturing

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Closed

Job Summary

Data Product Analyst to connect shopfloor and ERP data across Siemens on AWS and other platforms, defining data structures and governance to enable data-driven decisions across Reckitt’s global factory network. You will map data flows, design scalable data architecture, ensure data standards, support digital use cases, and collaborate with IT, site teams and Digital Product Owners to deliver robust data solutions.
Location: Slough
Workplace: Onsite
Employment Type: Full time
Job Function: Manufacturing & Production Operations

Key Responsibilities

  • •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 data ownership and points of inconsistency or redundancy.
  • •Data Architecture & Platform Enablement: Support the design of practical, scalable data architecture and ensure alignment between operational systems, cloud platforms, and analytics environments, working with IT to ensure robust solutions.
  • •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.
  • •Support Digital Use Case Delivery: Translate business use cases (e.g. performance management, predictive maintenance) into data requirements, data models, system dependencies; collaborate with Digital Product Owners, site teams, IT&D.
  • •Transparency & Governance Support: Provide visibility on data dependencies, readiness and gaps; support the PMO with structured inputs and data-related decision support; help ensure a single, consistent data logic across the programme.

Pay and Benefits

Perks:Life InsuranceParentral BenefitsEmployee AssistanceShare Plans

Key Requirements

  • •SQL and Python (or similar)
  • •Data modelling and data pipelines/APIs
  • •Experience with data analytics/industrial data
  • •Understanding of cloud environments (AWS desirable)
  • •Degree in Engineering, Data Science, Industrial IT or related field
Experience:ManufacturingCPGData analyticsIndustrial data
Education:Bachelor's
Skills:CommunicationProblem-solvingCuriosityOwnershipTeam collaboration
Tech Stack:SQLPythonSAPMESSCADAPLCAWSAzureSiemensData platformAPIs

Company Brief

Reckitt
Global consumer goods company producing health, hygiene, and home products across well-known brands. Operates in multiple markets offering over-the-counter health, personal care, and household cleaning products to consumers worldwide.
Industry: FMCG
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Slough, United Kingdom
Founded: 1999
WebsiteLinkedIn