Lead Analyst – Grocery Retailer

Lead Analyst – Grocery Retailer

– Culture of learning, development and promotion

– Varity of project work, parting with FMCG suppliers and wider retail stakeholders

– Advanced technical analytics environment and data science community

Location: London / wfh 3 days per week

Salary: £55k – £60k plus 10% bonus

Our client has one of the most established, mature and advanced analytics functions in the grocery retail industry. As one of the first major players to embrace and successfully roll out a loyalty card scheme, their heritage in data driven decision making makes for an amazing learning environment.

Working amongst a huge data community, and in turn a specialized analytics function, you have the opportunity to diversify, grow and develop both your technical and softer skills, leveraging their advanced training and development programmes. They offer individuals opportunity to grow in different directions and realise ambitions they might not have had the chance to do so before.

We are looking for experienced Analysts, ideally with some mentoring experience, as you will have 1-2 direct reports, but this is not a pre-requisite for this role and you will given support in this area if needs be.

Technically they use SQL to extract data and R and Python for modelling and statistical analysis, building code and tools, plus Microstrategy and Tableau for data visualization.

Experience required:

· Educated to at degree level in a numerate subject: Mathematics, Machine Learning, Computer Science, Statistics, Chemistry, Physics, Engineering etc.

· A strong background in customer insight and marketing analytics, and ideally modelling, is required for this role

· Comfortable leading and owning projects, whilst mentoring more junior member of staff

· Demonstrates independence of thought, creativity in problem solving and keen to bring new ideas to the room

· Ability to work with data from multiple sources, including digital, to provide robust solutions and insights

· Excellent skills with either Python or R AND SQL

· Passionate about embedding data at the heart of decision making, driving insights led thinking

· Strong skills in stakeholder management and a desire to work in a business facing capacity