Gopuff
Lead Data Analyst
London, England. Posted 8 months ago
The role
You will build analytics and measurement approaches, answer business questions with quantitative analysis and experiments, and act as the main partner for data engineering teams. You will also support pricing strategy and help build a data-driven culture.
What you will do
- Develop analytical approaches to measure performance and customers, and embed learnings into daily decisions
- Answer complex business questions with quantitative analysis and experimentation
- Influence strategic and tactical decisions among leadership and cross-functional teams
- Act as primary partner for Analytics and Data Engineering teams on reliable, scalable data pipelines
- Build models and tools to inform pricing strategies and maximize margin
- Partner with Customer Insights teams on customer and competitor research
- Coach teams to increase data literacy and confidence
- Support and mentor other analysts
Required qualifications
- 5+ years of experience in analytics or data science
- Strong understanding of statistical analysis and experiment design
- Expert skills in SQL and databases, writing efficient queries on large data sets
- Development experience with BI platforms such as Looker, Tableau or Power BI
- Strong and confident communication style
- Good knowledge of data visualisation and storytelling
- High degree of curiosity, comfortable analysing large amounts of data across business dimensions
Nice to have
- Experience in grocery, trading, marketing or consumer product fields
- Bachelor's degree in Business, Mathematics, Statistics or another quantitative discipline
- Experience with dbt
- Experience with Python or R and GitHub
- Experience with Looker and LookML
Benefits
- Comprehensive medical, dental, vision and mental health support for eligible employees
- Company RSUs (Restricted Stock Units)
- Gopuff employee rewards, including brand partnership deals
- Annual performance appraisal and bonus
About the company
Gopuff offers this role as a Lead Data Analyst. The posting describes the company's analytics and data work but gives no further detail about the business.