Data Product Analyst - Digital Manufacturing at Reckitt

Slough, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Sep, 26

Salary

0.0

Posted On

22 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Modelling, Data Pipelines, APIs, AWS, MES, SCADA, PLC, Data Integration, System Thinking, Data Architecture, Industrial IT, Data Engineering, Supply Chain Processes, Communication

Industry

Manufacturing

Description

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.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 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 With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.Equality We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Responsibilities

The role focuses on building a scalable data foundation for digital manufacturing by mapping data flows across shopfloor, MES, and ERP systems. It involves defining data standards and translating business use cases into technical data requirements to enable data-driven decision-making.