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For Companies At a Glance
- Tasks: Lead data-driven insights for pricing and promotions in a fast-paced tech environment.
- Company: Join a scale-up tech platform revolutionizing FMCG distribution.
- Benefits: Enjoy a competitive salary, hybrid work, and comprehensive health benefits.
- Why this job: Be part of an entrepreneurial team driving impactful decisions with data.
- Qualifications: 3-5 years in analytics; SQL expertise and a degree in a quantitative field preferred.
- Other info: Great career growth opportunities and annual performance bonuses await!
The predicted salary is between 52000 - 68000 £ 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!
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Lead Category Analyst (Pricing & Promotion) employer: ZipRecruiter
Contact Detail:
ZipRecruiter 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 speak confidently about how your insights can drive category performance.
✨Tip Number 2
Brush up on your SQL skills and practice writing complex queries. Being able to demonstrate your proficiency in handling large datasets during the interview will set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've used data visualization tools like Tableau or Power BI to tell a story with data. This will showcase your ability to communicate insights effectively, which is crucial for this role.
✨Tip Number 4
Think about how you can foster a culture of data-driven decision-making in your previous roles. Be ready to discuss specific strategies you've implemented to enhance data literacy among teams.
We think you need these skills to ace Lead Category Analyst (Pricing & Promotion)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Category Analyst position. Highlight key responsibilities and requirements that resonate with your experience, especially in analytics, data science, and category management.
Tailor Your CV: Customize your CV to reflect relevant experience in eCommerce, Retail, or FMCG. Emphasize your proficiency in SQL, data visualization tools, and any experience with Python or R. Use specific examples to demonstrate your analytical skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your ability to support business growth through insights. Mention how your background aligns with the company's goals and how you can contribute to their entrepreneurial team.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples of how you've effectively communicated complex data insights in previous positions. This could include presentations, reports, or collaborative projects that required clear storytelling.
How to prepare for a job interview at ZipRecruiter
✨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 relatable and memorable.
✨Demonstrate a Data-Driven Mindset
Be ready 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 data literacy among colleagues.
