Senior Data Analyst, People Analytics

Checkout.com·Londonsenior

In short

→Analista de datos senior especializado en analytics de personas, con enfoque en decisiones estratégicas.
→Desarrollas productos de datos desde cero: modelado, pipelines, visualizaciones y soporte a stakeholders clave.
→Destaca por integrar IA en soluciones de datos para impulsar decisiones humanas en la empresa.

Proficiency in English required (written and spoken)

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What they ask for

✓Experiencia comprobada en el desarrollo end-to-end de productos de datos para stakeholders empresariales.
✓Capacidad demostrada para transformar datos en insights estratégicos, no solo reportes.
✓Conocimiento práctico en análisis avanzado (causalidad, predicción, diagnóstico).
✓Experiencia en construcción e implementación de soluciones de IA en entornos productivos.
✓Habilidades de comunicación y facilitación para impulsar la alfabetización en datos.
✓Capacidad para trabajar de forma autónoma y con influencia en equipos multidisciplinarios.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

LookerSQLPythonGoogle Cloud Platform (GCP)BigQueryData ModelingData PipelinesAI/MLAgentic WorkflowsCloud-Native Stack

Who should you write to at Checkout.com?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

com . You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. com . Our mission is to enable data-driven people decisions across the organisation, from the executive team to individual managers. You will own analytics solutions end-to-end, backed by solid analytics engineering skills: the stakeholder instincts to deliver products that people actually use, the analytical judgement to turn data into insight, and the curiosity to push the boundary of what People Analytics can do with AI. This is an embedded role. You will sit inside the People team and work directly with People leaders, the executive team, and partner departments such as Finance and Business Partnering. You will own the whole solution, from data modelling and pipeline work through to visualisation, analysis, insight and ongoing stakeholder support, rather than handing work to another team to finish. This is a senior individual contributor role with real scope. You will own a portfolio of stakeholder relationships, shape what we build next, and contribute to one of the most ambitious People Analytics strategies in the business. Job responsibilities End-to-end product development. Own the full product development lifecycle for assigned stakeholder groups, from requirements gathering and design to pipeline development, Looker delivery, and enablement. You will be the primary People Analytics partner for Business Partnering and Finance, responsible for both supporting existing products and delivering new ones. Advanced analytics. Conduct analyses that go beyond what happened to explain why and anticipate what comes next. Partner with the People Analytics Manager and senior stakeholders on the most complex and strategically important questions. AI. Design, build, and deploy AI-powered data products. Working from our People Analytics AI roadmap, you will identify high-value use cases and deliver production-grade solutions, from intelligent data applications to agentic workflows, using our cloud-native stack. Enablement. Drive data fluency across your stakeholder groups through demos, documentation, training, and self-service tooling. Make data accessible, not just available. Data quality. Keep the data behind your products reliable and well documented, contributing to the continuous improvement of our pipeline, semantic layer, and the data products we share with other teams. Growth opportunities We want this role to grow.

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