At a Glance
- Tasks: Transform data into actionable insights to drive commercial and marketing decisions.
- Company: Join Lotus Natural Foods, a leader in healthy snacking with global ambitions.
- Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
- Other info: Be part of a small, collaborative team focused on innovation and growth.
- Why this job: Kickstart your career in a fast-growing business and make a real impact.
- Qualifications: Strong analytical skills, Excel proficiency, and a passion for data storytelling.
The predicted salary is between 30000 - 40000 £ per year.
Lotus Natural Foods, the healthy snacking division of Lotus Bakeries, has a portfolio of 5 incredible brands: BEAR, TREK, nakd., Kiddylicious, and Peter’s Yard. We have great ambitions for all our brands, ensuring sustainable growth over the long term. Taste and quality are what underpins us as brand leaders within our categories.
This is a great opportunity for someone who is starting their category career or is in an analytical role currently, who wants to develop their career in the Category Management function. You’ll be an analytical engine of the business, responsible for transforming data into clear, actionable insight that drives commercial and marketing decisions.
Key responsibilities:
- Internal Category Reporting & Insight Leadership: Own monthly category reporting, ensuring accuracy, clarity, and timely delivery to internal/external stakeholders. Lead deep-dive analysis across range, distribution, pricing, promotions, events, and NPD/EPD performance.
- Excel-Driven Analysis & Decision Support: Develop and maintain complex Excel tools that sit behind reporting suites. Translate raw data into clear, actionable insights that influence decision-making across commercial, marketing, and supply teams.
- Customer Collaboration: Support customer-facing conversations with our tactical accounts where deep category insight is required.
Alongside living our TOP values, we are looking for someone who:
- Is experienced at data analysis – telling the story behind the numbers.
- Has excellent communication skills.
- Can build and develop great relationships.
- Is outcome focused and results driven.
- Able to prioritise quickly in a fast-moving, entrepreneurial environment.
- Is happy to roll sleeves up and get stuck in.
Other essential requirements for this Category Executive role:
- Right-To-Work within the UK (without sponsorship).
- Minimum Education to Bachelor’s Degree level.
- Strong Excel skills.
- Previous experience of working in FMCG is preferred but not essential.
- Category Management or Insights agency side is a plus.
- Experience using data providers like Nielsen, iRi, Kantar, Dunnhumby or Sainsbury's insights platform is a plus.
Category Executive Kiddylicious UK in St Albans employer: LOTUS
Lotus Natural Foods is an exceptional employer that fosters a dynamic and inclusive work culture, where passionate individuals can thrive in their careers. With a strong focus on employee growth and development, particularly in the fast-paced category management sector, we offer unique opportunities to engage with innovative brands while contributing to sustainable business growth. Our collaborative environment encourages creativity and insight-driven decision-making, making it an ideal place for those looking to make a meaningful impact in the healthy snacking industry.
StudySmarter Expert Advice🤫
We think this is how you could land Category Executive Kiddylicious UK in St Albans
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like LOTUS when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like LOTUS.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like LOTUS.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through LOTUS’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Category Executive Kiddylicious UK in St Albans
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at LOTUS, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at LOTUS aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at LOTUS
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
