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Estimated salary
£ 2283
Median salary at goPuff
£ 1750Lowest salary
£ 2631The average salary
£ 5583Highest salary
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goPuff is looking for employees for positions:
engineer
engineer
regional manager
category manager
senior accountant
supervisor
financial accountant
payroll administrator
Working hours
full-time
Responsibility
create and manage our UK-specific data pipelines, ensuring the reliability and accuracy of the data that is ingested
we recognise that people come from diverse backgrounds and skills and welcome all to apply
develop, enhance and deploy ‘hot-fixes’ to new and existing Snowflake Data Tables through DBT
manage and develop our Looker LookML code base, ensuring it is accurate, efficient and fit for purpose
develop new outward-facing Data Products, such as Looker Dashboards, to support the wider business
join Gopuff as an Analytics Engineer, where together with our ‘Analytics Engineering and Operations Data Lead’, you will work on the development and management of a reliable, exhaustive, visible and understandable suite of data products to enable data-driven decision making
act as a conduit into the US Engineering team, sharing best practices and updates that the UK team will benefit from
the role of an Analytics Engineer in our UK Team is an exciting opportunity, and its responsibilities and scope span the whole journey of architecting a number of in-market data engineering jobs, all the way through to supporting the education of the wider business on the availability and usage of this data
Requirements
bachelor’s Degree in Business, Mathematics, Statistics, Data Science or other quantitative discipline
strong experience in SQL and databases , with an ability to write structured and efficient queries on large data sets
experience with Databricks or equivalent and/or Python is a strong plus
development experience with BI platforms such as Looker, Tableau, Power BI
A strong and confident communicator and collaborator
move fast, be a team player, always be learning, and give back
2+ years of experience in data/analytics engineering - preferably in fields related to grocery, operations, marketing or consumer products