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For Companies At a Glance
- Tasks: Drive data and category management strategies for a global FMCG leader.
- Company: Join Unilever, a renowned brand with a collaborative and dynamic culture.
- Benefits: Competitive salary, remote work options, gym access, and discounted products.
- Why this job: Make an impact in a fast-paced environment while developing your skills in data and marketing.
- Qualifications: Experience in data management and strong communication skills are essential.
- Other info: Enjoy free parking, a canteen, and excellent career growth opportunities.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Manpower are currently seeking an interim Data & Category Management Executive, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast‑paced FMCG environment. The position is based in Kingston upon Thames, Surrey. This is a full‑time temporary role to run for 12 months, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to £60,000 per annum, pro rata, depending upon experience. The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements.
Job Purpose
As the Data & Category Management Executive, you will be responsible for helping to drive the data, category management and customer experience strategy across UFS UKI ANZ, partnering in a number of areas, critical to enabling our Customer Development and Marketing teams to succeed in driving business growth. You will work closely with your local Brand, Trade & Digital Marketing, CSP (Customer Strategy & Planning) teams as well as collaborating with global partners from Data & Analytics to Customer Experience and Business Operations to drive optimal ways of working enable key stakeholders to drive UFS market share & performance. You will also help build and develop our category relationships externally with our most strategic customers in order to identify and capitalise on areas of mutually beneficial growth and improve the level of collaboration and data sharing to help fuel & enable the 2030 Data & CX Strategy. Your role in owning, developing and delivering in this role is dependent on your ability to communicate well both written and orally, as well as your passion for supporting business and category growth.
Key Accountabilities
- Collaborate with global & local counterparts to better leverage data to inform our Digital nurturing, lead management & sales conversion via enhanced & personalised Customer Journeys.
- Collaborate with global data & tech teams to develop & support a future‑proof tech stack (inc. CRM) to fully enable our sales & marketing community to win in the market.
- Drive business & category growth. Provide training & on‑going support; implement a strategy to enhance data‑driven decision making across UFS UKI via 1st party data, secondary sales data & named‑sales acquisition & utilisation.
- Develop a category management toolkit for Sales & marketing support to embed toolkit with sales team.
- Develop external category management relationships with strategic customers, providing actionable recommendations to capitalise & drive areas of mutually beneficial growth.
- Support integration of AI/machine learning into UFS strategy by identifying right toolkit, upskilling relevant teams & lead change management to bring these to life.
Key Requirements
- Relevant business experience within data, insights & category management, managing stakeholders across Sales & Marketing to drive efficiencies, optimal ways of working.
- Experience in advanced data, analytics, AI & machine learning, insight generation, customer engagement desirable but not essential.
- Good communication, influencing skills & ability to manage internal & external stakeholders at all levels.
- Good commercial awareness and business acumen; highly numerate and adept at working with data.
- Experience of translating continuous data sources & ad‑hoc research into actionable insights.
- Advanced Microsoft skills & an ability to understand and utilise new systems & toolkits.
- Experience in applying AI/machine learning to drive efficiencies & value in a business context (preferred).
- Ability to work under pressure and to tight deadlines & deliver to high standard.
- Strong networking ability and strong cross‑functional team working.
- Equally able to work independently & form long lasting working relationships with colleagues & customers.
- Project management experience - examples of delivering on time, in full to drive tangible value.
- Strong organisational skills and an ability to meet timelines in a disciplined manner.
- Degree preferred, education to A level or International Equivalent essential.
Additional Information
Contractors who are based at Kingston will be eligible to get free parking at a local carpark. There is a Unilever Staff Shop located on the Ground Floor next to the main entrance, where Contingent Workers can buy discounted Unilever products. A canteen. A Gym is available for use on the Ground Floor (with subscription). Facilities in the gym include cardiovascular equipment, resistance machines, spin bikes, free weights area, boxing equipment and a stretch/matted area. Classes are also available and can be booked directly with the Gym. Shower facilities are available in the changing rooms, along with hairdryers.
Data & Category Management Executive in London employer: Manpower
Contact Detail:
Manpower Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Category Management Executive in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Unilever or FMCG. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by researching Unilever's latest projects and initiatives. Show that you're not just interested in the role but also passionate about their brands and how you can contribute to their growth.
✨Tip Number 3
Practice your communication skills! Since this role requires strong influencing abilities, consider mock interviews with friends or mentors to refine your pitch and responses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talent that can help us drive data and category management forward.
We think you need these skills to ace Data & Category Management Executive in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & Category Management Executive role. Highlight relevant experience in data management and category insights, and don’t forget to sprinkle in some of that FMCG magic!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for data and category management, and how you can contribute to Unilever's growth. Keep it engaging and personal – we want to see the real you!
Showcase Your Communication Skills: Since this role requires strong communication skills, make sure your application reflects that. Use clear and concise language, and don’t shy away from demonstrating your ability to manage stakeholders effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Let’s get you on board!
How to prepare for a job interview at Manpower
✨Know Your Data
As a Data & Category Management Executive, you'll be working with data daily. Brush up on your knowledge of data analytics and insights generation. Be ready to discuss how you've used data to drive business decisions in the past.
✨Showcase Your Collaboration Skills
This role requires working closely with various teams, so highlight your experience in cross-functional collaboration. Prepare examples of how you've successfully partnered with sales, marketing, or tech teams to achieve common goals.
✨Communicate Clearly
Strong communication skills are key for this position. Practice articulating your thoughts clearly and concisely. Consider preparing a brief presentation on a relevant topic to demonstrate your ability to convey complex information effectively.
✨Be Ready for AI Discussions
With the integration of AI and machine learning being part of the role, brush up on these topics. Be prepared to discuss any experience you have with AI tools and how they can enhance data-driven decision-making in a business context.
