Lead Data Analyst
Category Management
Posted on 2/15/2023
INACTIVE
Gopuff

1,001-5,000 employees

Delivery service for daily essentials
Company Overview
Gopuff's mission is to make daily life effortless. Gopuff is the go-to delivery solution for immediate everyday needs. The company is building a modern food delivery service.
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Git
R
SQL
Tableau
Python
Looker
Power BI
CategoriesNew
Data & Analytics
Requirements
  • 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product
  • A strong understanding of statistical analysis and experiment design
  • A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential
  • Expert skills in SQL and databases, able to write structured and efficient queries on large data sets
  • Experience with dbt is a strong plus, along with Python or R and Github
  • Development experience with BI platforms such as Looker, Tableau, Power BI
  • Experience with Looker and LookML in particular is strongly preferred
  • A strong and confident communication style, with good knowledge of data visualization and storytelling
  • A high degree of curiosity, comfortable gathering and analyzing large amounts of data across a variety of business dimensions
  • The role will be UK based, with the candidate ideally based in/around London or able to visit on a regular basis
Responsibilities
  • Develop innovative measurement and analytical approaches that build our understanding of performance and customers, embedding these learnings into the Category team's day-to-day decision making
  • Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights
  • Influence both strategic and tactical decision-making in our EU Leadership and Category Management teams through strong communication, and by proactively identifying opportunities for improvement
  • Act as the main EU partner for our central Analytics & Data Engineering teams to implement reliable & scalable data pipelines that manage & transform the information we need
  • Build the necessary models and tools to inform our pricing strategies, helping Category Managers maintain a competitive position versus our competitors while maximising margin opportunity
  • Partner with our Customer Insights team, supporting them with their customer and competitor research projects and helping to embed learnings into the Category teams
  • Proactively build and nurture a culture of data-driven decision making through coaching & supporting teams to increase their data literacy and confidence
  • Support and mentor the other analysts in the team to help them develop their skills and deliver great results