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- Tasks: Analyse data to drive commercial performance and support decision-making.
- Company: Join a fast-growing tech platform in the FMCG sector.
- Benefits: Enjoy hybrid work, comprehensive insurance, and annual bonuses.
- Why this job: Be part of an entrepreneurial team making impactful decisions with data.
- Qualifications: 3-5 years in analytics; strong SQL skills and data visualisation expertise required.
- Other info: Opportunity for growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
Quest Search & Selection are currently partnering with a Scale-up tech platform specialising in the distribution of FMCG products. 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:
- 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:
- 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:
- Comprehensive medical and dental insurance.
- Bonus potential - paid annually.
- Hybrid role - 3 days in office (central London).
- RSUs.
- 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 Commercial Analyst 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 Commercial Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in FMCG and eCommerce. Understanding the current market dynamics will help you speak confidently about how your insights can drive category performance during interviews.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss specific examples of how you've used data analysis to inform pricing strategies or product assortments. Practical knowledge will set you apart from other candidates.
✨Tip Number 3
Showcase your experience with BI tools like Tableau or Power BI by preparing a portfolio of visualisations that demonstrate your ability to tell a story with data. This will highlight your communication skills and analytical prowess.
✨Tip Number 4
Network with professionals in the FMCG and retail sectors. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job with us.
We think you need these skills to ace Lead Commercial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, data science, and category management. Emphasise any specific projects or roles that demonstrate your ability to analyse large datasets and drive commercial performance.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in eCommerce or FMCG aligns with the responsibilities of the Lead Commercial Analyst position, and provide examples of how you've used data to inform business decisions.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, or R, and any experience with BI tools like Tableau or Power BI. Consider including a brief section in your CV that lists these technical skills prominently.
Highlight Communication Abilities: Since strong communication skills are essential for this role, include examples of how you've effectively communicated complex data insights to non-technical stakeholders. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Quest Search and Selection
✨Showcase Your Analytical Skills
As a Lead Commercial Analyst, your ability to analyse data is crucial. Be prepared to discuss specific examples of how you've used data analysis to drive business decisions in the past. Highlight any innovative measurement approaches you've developed.
✨Demonstrate Your Technical Proficiency
Make sure to mention your experience with SQL and any other relevant tools like Python or BI platforms. You might be asked to solve a technical problem during the interview, so brush up on your skills and be ready to demonstrate your knowledge.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex data insights in a simple way. Use storytelling techniques to convey how your analyses have impacted previous projects or decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare for scenarios where you need to analyse data to address a business challenge. Think about how you would approach these situations and what insights you would aim to uncover.
