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For Companies At a Glance
- Tasks: Lead data-driven insights to enhance commercial performance and pricing strategies.
- Company: Join a fast-growing tech platform specializing in FMCG distribution.
- Benefits: Enjoy a competitive salary, hybrid work, medical insurance, and career growth opportunities.
- Why this job: Be part of an entrepreneurial team that values innovation and data literacy.
- Qualifications: 3-5 years in analytics, strong SQL skills, and a degree in a quantitative field preferred.
- Other info: This role offers a chance to make impactful decisions in a dynamic environment.
The predicted salary is between 65000 - 80000 £ per year.
Job Description
Quest Search & Selection are currently partnering with a Scale-up tech platform specialising in the distribution of FMCG product.
The Lead Commercial Analyst (Category Management & Pricing) position involves developing insights across all aspects of commercial performance, such as creating range assortments tailored to local customer needs, identifying new and high-performing products and managing pricing and promotions.
Key responsibilities of this Lead Category Analyst (Pricing & Promotion)
- Develop innovative measurement and analytical approaches to enhance understanding of performance and customers, integrating these insights into the Category team's daily decision-making processes.
- Support business's rapid growth by analysing extensive datasets to uncover insights that drive improvements in category performance
- Address complex business questions through detailed quantitative analysis and experimentation, providing meaningful and actionable insights.
- Create models and tools to inform pricing strategies, aiding Category Managers in maintaining a competitive edge while maximising margin opportunities.
- Foster a culture of data-driven decision-making by coaching and supporting teams to enhance their data literacy and confidence.
Key requirements of Lead Category Analyst (Pricing & Promotion) –
- Ideally having 3-5 years of experience in analytics or data science, preferably in grocery, trading, or category management.
- Ideally have experience in eCommerce, Retail or FMCG.
- Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous.
- Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets.
- Experience with dbt, Python or R, or GitHub is a plus.
- Development experience with BI platforms such as Looker, Tableau, or Power BI.
- Strong and confident communication skills, with expertise in data visualisation and storytelling.
Benefits included for Lead Category Analyst (Pricing & Promotion) –
- Salary £65,000 – £80,000 – DOE
- Comprehensive medical and dental insurance.
- Bonus potential – paid annually
- Hybrid role – 3 days in office (central London)
- Employee discount.
- RSU's
- Career growth opportunities.
- Annual performance appraisal and bonus.
This is a great opportunity if you have the right skill sets to be part of an entrepreneurial team. If this role is of interest, please do apply today!
Lead Category Analyst (Pricing & Promotion) employer: Quest Search and Selection
Contact Detail:
Quest Search and Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Category Analyst (Pricing & Promotion)
✨Tip Number 1
Familiarize yourself with the latest trends in FMCG and eCommerce. Understanding the market dynamics will help you demonstrate your insights during the interview, showing that you're not just a data analyst but also a strategic thinker.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss specific examples of how you've used it to analyze large datasets. Being able to articulate your experience with structured queries will set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your experience with BI tools like Looker or Tableau. Have a portfolio ready that highlights your data visualization projects, as this will demonstrate your ability to communicate complex data effectively.
✨Tip Number 4
Think about how you can foster a culture of data-driven decision-making in your previous roles. Be ready to share examples of how you've coached teams or improved data literacy, as this aligns perfectly with the company's goals.
We think you need these skills to ace Lead Category Analyst (Pricing & Promotion)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Lead Category Analyst position. Tailor your application to highlight relevant experiences in analytics, data science, and category management.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 3-5 years of experience in analytics or data science, particularly in grocery, trading, or category management. Mention any specific projects where you developed insights from large datasets.
Showcase Technical Skills: Clearly outline your proficiency in SQL and any experience with BI platforms like Looker, Tableau, or Power BI. If you have experience with Python, R, or GitHub, be sure to include that as well.
Communicate Effectively: Demonstrate your strong communication skills by crafting a clear and engaging cover letter. Use data visualization examples if possible to showcase your ability to tell a story with data, which is crucial for this role.
How to prepare for a job interview at Quest Search and Selection
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis to drive business decisions. Highlight your experience with SQL and any BI tools you've worked with, as these are crucial for the role.
✨Understand the FMCG Landscape
Familiarize yourself with current trends in the FMCG sector, especially related to pricing and promotions. Being able to discuss these trends will demonstrate your industry knowledge and passion for the field.
✨Communicate Clearly and Confidently
Since strong communication skills are essential, practice explaining complex data insights in a simple and engaging way. Use storytelling techniques to make your points more relatable and impactful.
✨Demonstrate a Data-Driven Mindset
Be prepared to discuss how you foster a culture of data-driven decision-making in your previous roles. Share examples of how you've coached teams or improved their data literacy, as this aligns with the company's goals.
