Data analyst Work, Jobs in Frimley, Sry (with Salaries)

Data Product Analyst - Digital Manufacturing
Reckitt —Slough
- Engineering
- ERP systems
- Analytics
- Employee assistance programme
- Life insurance
Data Analyst
Ceox —Guildford
- Remote
- Analysis skills
- Communication skills
Quick apply
Inventory Analyst - Stores & Purchasing
Motion Applied —Woking
- Hybrid work
- Analysis skills
- Continuous improvement
- Manufacturing
- Annual leave
Quick apply

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Data Product Analyst - Digital Manufacturing

Reckitt -
Slough

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Job details

Benefits

Employee assistance programme
Life insurance

Qualifications

Data modelling
Data integration
Engineering
Supply chain
ERP systems
Cloud computing
Analytics

Full job description

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.

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