At a Glance
- Tasks: Join our Digital Manufacturing team to enhance data-driven decision-making across global factories.
- Company: Reckitt, a leader in hygiene, health, and nutrition with a purpose-driven culture.
- Benefits: Inclusive workplace, mental health support, competitive pay, and opportunities for career growth.
- Other info: We value potential over perfection; apply even if you don't tick every box!
- Why this job: Make a real impact by connecting data and systems in a dynamic manufacturing environment.
- Qualifications: 2-5 years in data analytics or engineering, with a degree in a related field.
The predicted salary is between 40000 - 50000 £ per year.
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.
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. 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.
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:
- 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.
- 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 and aligned with business needs.
- 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. Work closely with Digital Product Owners, site teams, IT&D.
- 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) and 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) and 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, and 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, 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.
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.
Data Product Analyst - Digital Manufacturing in Slough employer: Reckitt
Reckitt is an exceptional employer that prioritises inclusion and employee wellbeing, offering a supportive work culture where every team member can thrive. Located in Slough, our Digital Manufacturing team provides unique opportunities for professional growth through innovative projects and collaboration across global supply chains. With comprehensive benefits, including parental support and mental health resources, we empower our employees to achieve their best while contributing to a cleaner, healthier world.
StudySmarter Expert Advice🤫
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We think you need these skills to ace Data Product Analyst - Digital Manufacturing in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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