B&W R&D Data Office Data and Digital Analyst
B&W R&D Data Office Data and Digital Analyst

B&W R&D Data Office Data and Digital Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data to drive innovation and support decision-making in R&D.
  • Company: Join Unilever's Beauty & Wellbeing team, transforming insights into consumer-centric solutions.
  • Benefits: Flexible working options, inclusive workplace, and opportunities for personal development.
  • Why this job: Be at the forefront of AI and digital transformation in a dynamic, collaborative environment.
  • Qualifications: Science/Maths degree preferred; strong Excel and data manipulation skills required.
  • Other info: Training provided; apply through the portal for a chance to make an impact.

The predicted salary is between 36000 - 60000 £ per year.

Job Title: B&W R&D Data Office Data and Digital Analyst

Location: UK – Port Sunlight

Work Level: WL1-RH4

MAIN JOB PURPOSE

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.

OVERVIEW

Beauty & Wellbeing (B&W) R&D drives science-led innovation across Skin Care, Hair Care, Wellbeing, and Prestige categories. Supporting over 50 brands globally, the B&W Data office team transforms insights into impactful, consumer-centric solutions through data, digital tools, and cross-functional collaboration.

This role plays a key part in that transformation—enabling strategic decision-making and innovation by integrating data analytics, AI/GenAI capabilities, and digital programme management within the B&W R&D Data Office. Training will be provided in areas that are not currently fully operational.

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.

Specific Skills

  • Science/Maths based Degree with business modules preferred.
  • Strong Excel skills are essential (pivot tables, macros, VLOOKUPs 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.

Personal Qualities: Unilever Winning Culture and Behaviours

  • Care Deeply: Strong team worker, with ability to engage and perform in a cross-functional Team
  • Stay Three Steps Ahead: Pro-active mind-set and agile management of workplan
  • Deliver with Excellence: Ability to drive change, meticulous eye for detail and effective communication (written and verbal)
  • Focus on What Counts: An ability to set priorities and structure milestones, and to work to tight deadlines

NOTES

Please apply via this portal as e-mail applications may not be processed and include your Future Fit Plan if possible.

By applying for this vacancy, you are confirming that you have made your Line Manager aware of your application and that you are at a point in your career with Unilever where it is appropriate for you to be applying for other positions.

Should you require additional information or reasonable adjustments to allow you to present your best self during this process, please contact your Talent Partner Kyron Dias on Kyron.Dias@unilever.com

What we offer

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 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 embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion (unilever.com).

Relocation to the UK

Please be aware if you are applying for this role from outside the UK, if successful, your application will be treated as a self-initiated Change Location Outside of Country (CLOC) transfer. This means any relocation costs must be self-funded with the potential to reclaim some specific pre-approved expenses up to £5,000. Please speak to your Talent Partner if you have any questions.

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B&W R&D Data Office Data and Digital Analyst employer: Unilever

At Unilever, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Port Sunlight. Our commitment to employee growth is evident through comprehensive training programmes and a focus on digital upskilling, ensuring that our team members are equipped to thrive in a rapidly evolving landscape. With a strong emphasis on diversity and inclusion, we create a supportive environment where every individual can contribute meaningfully and advance their career while making a positive impact on global brands.
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Contact Detail:

Unilever Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land B&W R&D Data Office Data and Digital Analyst

✨Tip Number 1

Familiarise yourself with the specific data tools mentioned in the job description, such as Excel, PowerApps, and Alteryx. Having hands-on experience or even completing online courses in these areas can give you a significant edge during the interview.

✨Tip Number 2

Showcase your understanding of AI and GenAI by discussing relevant projects or experiences you've had. Be prepared to explain how you can apply these technologies to drive innovation within the B&W R&D Data Office.

✨Tip Number 3

Network with current employees or alumni who work in similar roles at Unilever. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.

✨Tip Number 4

Prepare to discuss your experience with cross-functional collaboration. Think of examples where you've successfully worked with different teams, as this role requires strong teamwork and communication skills.

We think you need these skills to ace B&W R&D Data Office Data and Digital Analyst

Strong Excel skills (pivot tables, macros, VLOOKUPs)
Data capture and manipulation experience (Excel, PowerApps, Alteryx, Python)
Experience with data visualisation software (PowerBI, Seaborn, Matplotlib)
Experienced in AI/GenAI project delivery
Experience in People Transformation / Training activities
Familiarity with SAP / LIMS / CU PIRD
Experience with Data Quality improvement projects
Strong Python skills and clean coding practices
Analytical Skills
Attention to Detail
Effective Communication Skills (written and verbal)
Project Management
Ability to work in a cross-functional team
Pro-active mindset and agile management of workplan
Ability to set priorities and structure milestones

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your data analysis, AI project delivery, and any experience with tools like Excel, PowerBI, or Python.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and how it can drive innovation in the Beauty & Wellbeing sector. Mention specific examples of past projects where you successfully used data to influence decision-making.

Showcase Your Technical Skills: Clearly outline your technical skills in your application. Highlight your proficiency in Excel, data manipulation, and any experience with data visualisation software. If you have worked on AI initiatives, be sure to mention those as well.

Demonstrate Cultural Fit: Reflect on Unilever's Winning Culture and Behaviours in your application. Share examples of how you care deeply for team collaboration, stay proactive, and deliver excellence in your work. This will show that you align with their values.

How to prepare for a job interview at Unilever

✨Showcase Your Data Skills

Make sure to highlight your experience with data analysis tools and programming languages, especially Excel and Python. Be prepared to discuss specific projects where you've used these skills to derive insights or solve problems.

✨Understand the Role's Impact

Familiarise yourself with how the B&W R&D Data Office contributes to the overall business. Be ready to explain how your skills can help drive innovation and enhance decision-making within the team.

✨Prepare for Technical Questions

Expect questions related to AI initiatives and data visualisation software. Brush up on your knowledge of tools like PowerBI and be ready to discuss any relevant projects you've worked on that involved these technologies.

✨Demonstrate Team Collaboration

Since this role involves cross-functional collaboration, prepare examples that showcase your ability to work effectively in teams. Highlight experiences where you engaged with different departments to achieve a common goal.

B&W R&D Data Office Data and Digital Analyst
Unilever
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  • B&W R&D Data Office Data and Digital Analyst

    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-09-06

  • U

    Unilever

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