Commercial Analytics & Growth Assistant

Commercial Analytics & Growth Assistant

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
The Body Shop

At a Glance

  • Tasks: Turn data into insights and support commercial planning for growth.
  • Company: Join The Body Shop, a leading ethical beauty brand.
  • Benefits: Competitive salary, employee discounts, and a vibrant work culture.
  • Other info: Exciting opportunities for career development in a purpose-driven company.
  • Why this job: Influence product decisions and drive profitability in a dynamic environment.
  • Qualifications: Analytical skills and a passion for commercial strategy.

The predicted salary is between 45000 - 55000 £ per year.

The Body Shop in the UK is hiring an Assistant Commercial Manager to join our Commercial team in Brighton or London.

You’ll help turn data into insight, support commercial planning, analyse performance trends and identify opportunities to grow profitability across our ranges.

Working with Product Development, Merchandising, Pricing and Trading, you’ll influence decisions that shape our product portfolio and support launches, assortment planning and big-picture commercial strategy.

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Commercial Analytics & Growth Assistant employer: The Body Shop

The Body Shop is an excellent employer that fosters a vibrant and inclusive work culture in Nottingham, where employees are encouraged to express their passion for beauty and sustainability. With a strong commitment to ethical practices, the company offers comprehensive training and growth opportunities, ensuring that every Beauty Consultant can thrive in their role while making a positive impact on customers' lives. Join us to be part of a team that values your contributions and supports your professional journey in a rewarding retail environment.

The Body Shop

Contact Details:

The Body Shop Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Commercial Analytics & Growth Assistant

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like The Body Shop!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Commercial Analytics & Growth Assistant

Data Analysis
Commercial Planning
Performance Trend Analysis
Profitability Analysis
Influencing Skills
Product Development Collaboration
Merchandising Knowledge

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at The Body Shop, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at The Body Shop

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with The Body Shop’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.