Lead Category Analyst (Pricing & Promotion)

Quest Search and Selection; Greater London; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

Join a dynamic scale-up tech platform as a Lead Category Analyst, where your analytical prowess will drive insights and strategies in pricing and promotions. This role offers the chance to develop innovative measurement techniques and support business growth through data-driven decision-making. Collaborate with a talented team to create models that inform pricing strategies, while fostering a culture of data literacy. With a hybrid working model and a focus on personal development, this is an exciting opportunity to make a significant impact in a fast-paced environment. If you're passionate about analytics and ready to contribute to a thriving team, don't hesitate to apply!

Benefits

Comprehensive medical and dental insurance

Bonus potential - paid annually

RSU's

Annual performance appraisal and bonus

Qualifications

• 3-5 years of experience in analytics or data science, preferably in grocery or retail.
• Expert proficiency in SQL and experience with BI platforms.

Responsibilities

• Develop innovative measurement approaches to enhance performance understanding.
• Analyse datasets to uncover insights that drive category performance improvements.

Skills

Analytical Skills

Data Science

Communication Skills

Data Visualization

Education

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Tools

SQL

Looker

Tableau

Power BI

Python

R

GitHub

dbt

Job description

Lead Category Analyst (Pricing & Promotion)

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:

• 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:

• 3-5 years of experience in analytics or data science, preferably in grocery, trading, or category management.
• Experience in eCommerce, Retail or FMCG.
• 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).
• RSU's.
• 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!

Seniority Level

Associate

Employment Type

Full-time

Job Function

Analyst, Engineering, and Strategy/Planning

Industries

Retail, Data Infrastructure and Analytics, and Food and Beverage Services