B&W R&D Data Office Data and Digital Analyst
Unilever
Birkenhead, United Kingdom
29 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
JuniorJob location
Remote
Birkenhead, United Kingdom
Tech stack
Microsoft Excel
Artificial Intelligence
Big Data
Data Visualization
Python
Laboratory Information Management Systems
Lookup Table
Pivot Tables
Power BI
SAP Applications
Data Processing
Macros
Matplotlib
Powerapps
Alteryx
Job description
This role supports the B&W R&D Data Office in unlocking insights and driving innovation through advanced analytics, AI, and digital programme management-enhancing decision-making and operational effectiveness across R&D functions. This includes analysing large volumes of data from varied sources, generating insights and ensuring those insights are acted upon in the business.
KEY TASKS
- Preparing complex data analyses for the B&W R&D Leadership Teams (BG, BU and S&T)
- Communicate results of ingredients, sales and portfolio data analyses to cross-functional groups (R&D, Supply Chain, Procurement, Quality, etc.)
- Support the B&W Data Office with Category related tasks such as Budget Management, KPIs, Sustainability etc.
- Use data handling skills to maintain and develop our Data Office reporting environment; quarterly update of published tools and bespoke development of new capabilities based on business need.
- Support the B&W Digital team in their People Transformation programme, driving Digital Upskilling and a Digital-First mindset in B&W R&D.
- Support B&W Strategy & Ops with relevant tasks
- Lead AI initiatives from concept to deployment for B&W R&D. Demonstrate leadership in the space of Agentic AI.
- Translate scientific challenges into tangible objectives and identify data-driven solutions.
Requirements
Powerapps, Alteryx, Coding Practices, Project Delivery, * Science/Maths based Degree with business modules preferred.
- Strong Excel skills are essential (pivot tables, macros, VLOOKUP's etc.)
- Data capture and manipulation experience preferred (e.g. Excel, PowerApps, Alteryx, ideally Python).
- Experience with data visualisation software would be advantageous (e.g. PowerBI/Seaborn/Matplotlib)
- Experienced in AI/GenAI project delivery.
- Experience in People Transformation / Training activities preferred.
- Experience with SAP / LIMS / CU PIRD preferred.
- Experience with Data Quality improvement projects preferred.
- Strong Python skills, clean coding practices would be an advantage.
