Data Analyst, EU In-stock Management

London, UK

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Gopuff

Gopuff delivers thousands of everyday items, at your door in 30 minutes. Get everyday value in your pocket. Instantly.

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Gopuff is the go-to solution for immediate everyday needs, fulfilling customer orders of cleaning and home products to food and drinks, and in some markets, alcohol - in just minutes.
To make our model work, data needs to be at the heart of every decision we make. As such, we are looking for a talented Data Analyst to join our EU In-stock Management team to develop insights across all aspects of our inventory supply chain. This is a crucial role in helping optimize our in-stock management processes and policies, that balance maintaining great availability for our customers while holding optimal levels of inventory.
You will support the rapid growth of our business by delivering analysis that drives improvements across our supply chain. Projects will include how best to utilize our inventory across our store and our distribution center network, measuring our various models to optimize their recommendations, or analyzing the performance of vendors. You will have the opportunity to develop innovative approaches to the complex problems we need to solve, and will work alongside other EU Analysts and our centralized Engineering teams to play a role in our wider data community.

You will:

  • Support our In-stock Product Team by developing innovative measurement and analytical approaches that root cause and build our understanding of all aspects of our in-stock management performance - such as forecasting accuracy, availability metrics, supplier performance, waste & cost management, etc
  • Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights for in-stock managers to inform our replenishment policies and ways-of-working
  • Own the development of detailed yet clear reports and dashboards for both internal and external stakeholders.
  • Partner with our central Data Science, Analytics & Data Engineering teams to implement reliable & scalable data pipelines to put your models into production, and to gather the information you need
  • Proactively build and nurture a culture of data-driven decision-making within our in-stock managers through coaching & supporting teams to increase their data literacy and confidence

You have:

  • 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product.
  • A deep understanding of statistical analysis, ideally with experience in forecasting approaches, optimisation methodologies and experiment design
  • Expert 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 strongly preferred.
  • A strong and confident communicator, with good knowledge of data visualisation and storytelling.
  • A high degree of curiosity, comfortable gathering and analysing 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.
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data pipelines Engineering GitHub Looker LookML Pipelines Power BI Python R SQL Statistics Tableau

Region: Europe
Country: United Kingdom
Job stats:  3  0  0
Category: Analyst Jobs

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