Data Analyst (Mid Level) | Ecommerce | Barcelona | Hybrid (2 days office)About us: Ocado Technology is powering the future of online retail across the globe through disruptive innovation and automation. Join us to create world-class systems at the intersection of robotics and IoT, cloud platforms, big data, machine learning, software development, and beyond. We're constantly reinventing ourselves, learning fast, evolving our craftsmanship and taking risks as we strive to fulfil our mission to change the way the world shops. We enable some of the world's most forward-thinking retailers to do grocery online profitably, scalably and sustainably.Over the past two decades, we have developed a wide technology estate that includes robotics, AI and machine learning, simulation, forecasting and edge intelligence which all form part of our game changing 'Ocado Smart Platform' product. We champion a value-led culture to get our teams working at their very best and to help create a collaborative working environment that our people love. Core values of Trust, Autonomy, Craftsmanship, Collaboration and Learn Fast help drive our innovative culture.About the role: You will drive data-based decision making throughout eCommerce whilst envisioning the future of the consumer-facing side of the Ocado Smart Platform. We're looking for ambitious, creative problem-solvers who can challenge convention and make an impact. Your responsibilities will include:Value: Identifying the fundamental metrics / KPIs behind the Ocado Smart Platform, the levers that drive them, and using these to help product managers unlock and track the value delivered by our products.Architecture: Understanding where data resides, who owns it and how it is used throughout the platform, and identify opportunities for improvement.Tooling: Identifying and building reusable solutions to enable analysis to build on previous work.Problem solving: Use your skills and experience to find platform problems and opportunities, help to size them and understand the root cause and drivers to guide the product roadmap.Data democratisation: Empower teams with the right tools, reports and guidance to leverage insight to make better informed decisions.What we're looking for:A highly numerate background, with a key focus on statistics.SQL and Python skills.A proven track record of identifying and delivering actionable insight and demonstrable business change through the application of analytics and data science - ideally in a product-led business.Experience with experimentation and hypothesis testing.A critical thinker, with the curiosity to be constantly on the lookout for opportunities and the confidence to challenge and push back.Comfort operating autonomously.It would be great if you had (but not essential):Domain knowledge: Ecommerce, Supply Chain, Fulfilment or Logistics.Experience of experimentation tools such as Optimizely.Building dashboards in self-service BI solutions.#J-18808-Ljbffr
