Please Note: The deadline for applying is 23.59 the day before the job posting end date.
Job Title: Fabric Enhancers R&D Data Analyst
Location: Port sunlight Research Lab
Fabric Care is one of the biggest categories in Unilever and the largest category in HomeCare (HC).
Consisting of Fabric Cleaning and Fabric Enhancers (FE), it has some highly loved brands including Dirt4 Good, Surf, Comfort and Snuggle.
The FE team, based in Port Sunlight, develops exciting product innovations, with a strong focus on solving consumer pain points with differentiated mixes, crafted from technology for superior performance and delivering our Clean Future promise. It is a fast-paced category with a truly exciting transformational agenda and vision for future growth.
JOB PURPOSE
Our aim is to become the world’s most admired HC company powered by Clean Future. An ambitious digital transformation agenda with rigorous execution is a critical enabler to realize our vision. We are transforming the speed and quality of product innovation to deliver product superiority faster through the power of digital.
RESPONSIBILITIES
In Fabric Enhancers R&D, we focus on developing and deploying the digital capabilities to deliver 4 key business goals: clean future innovation, win with consumers, reduce cost & complexity and agile implementation. Part of the FE R&D Digital Team, the
R&D Data Analyst will play a key role in the increased confidence in data driven decisions across FE R&D, through the identification, definition and execution of priority data analytics and visualisation solutions and support.
ALL ABOUT YOU
Key Skills
📊 1. Data Management & Integration
Core Skills:
- Ability to manipulate and manage complex datasets.
- Proficient in linking and integrating data from multiple sources.
- Strong understanding of data structures, storage, and organization.
Tools & Technologies:
- Power BI: Advanced experience with DAX queries and data visualization.
- SQL: Proficient in querying, joining, and transforming data across relational databases.
✅ 2. Data Quality & Validation
Core Skills:
- Conducting data quality assurance and validation.
- Data cleaning, structuring, and linkage across systems.
Tools & Technologies:
- JMP
- Machine Learning: Experience applying ML techniques for data validation or enhancement.
🤖 3. AI Tools & Automation
Core Skills:
- Experience as a Prompt Engineer and in building intelligent agents.
- Ability to apply AI tools to solve real-world problems.
Tools & Technologies:
- OpenAI Library
- Microsoft AI Labs
🛠️ 4. Capability Development & Automation
Core Skills:
- Quick learner with the ability to adopt and apply new methods.
- Skilled in automating processes and building tools or apps.
Tools & Technologies:
- Python: Strong scripting and automation capabilities.
- MATLAB: Basic awareness and ability to apply for analytical tasks.
- You have a relevant technical degree and high level of data manipulation skills using applications such as SQL, PowerBI, Power Apps, Excel.
Core Skills
- Communication: You have a proactive mindset, passionate about engaging with end users, are a strong team player with excellent communication skills. You can understand how to share insights with stakeholders.
- Data management: You have a passion for data and an eye for detail with a proven track record in the ability to manipulate complex data sets and link different data sets. You can understand data sources, data organisation and storage.
- Data quality assurance, validation and linkage: You can conduct data quality assurance, data cleaning, validation and linkage.
- Data visualisation: You can interpret requirements and present data in a clear and compelling way, summarise and present data and conclusions in the most appropriate format for users.
- Statistical methods and data analysis: You can demonstrate knowledge of statistical methodologies and data analysis techniques.
- Business Acumen: You have a good appreciation for the potential application of data analytics across different areas of the end-to-end R&D process. Deep knowledge of cross-functional data would be a plus, e.g. supply chain (manufacturing), sustainable future, procurement, finance, consumer insight.
STANDARDS OF LEADERSHIP
- Passion for high performance - Generates intensity and focus to motivate people to deliver results at speed.
- Talent catalyst - Inspires powerful teamwork and collaboration, connecting people for better results.
- Agility – constantly exploring and learning, flexing style and plans for impact.
NOTES
About Unilever
Unilever is one of the world’s leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Dove, Tresemme, Lynx, Lifebuoy, Shea Moisture, Persil, Domestos, Ben & Jerry’s, Magnum, Marmite, The Vegetarian Butcher, Graze and Pot Noodle.
Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet. That’s why our purpose is ‘to make sustainable living commonplace’.
What We Offer
Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, subsidised gym membership, a discounted staff shop and shares. You’ll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment.
Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.
Diversity at Unilever is about inclusion, embracing differences, creating possibilities, and growing together for better business performance. We want to push boundaries, and have the flexibility needed to keep adapting in an ever-changing, more dynamic world. This means giving full and fair consideration to all applicants, regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
As part of your hiring journey, we are happy to support requests for reasonable adjustments, to improve your recruitment experience.
To find out more, including more information about our Employee Resource Groups, please click here.
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How is Unilever tackling this?
Many of Unilever’s recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down.
What can I do?
If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat.
Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!
