Senior Data Analyst, People Analytics Reward London

We’re Checkout.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. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

As a Senior People Data Analyst, you will play a leading role in the People Analytics team at Checkout.com. Our mission is to enable data-driven people decisions across the organisation — from the executive team to individual managers. You will combine deep analytics engineering experience with end-to-end product ownership: bringing the technical discipline to raise the quality of our data ecosystem, the stakeholder instincts to deliver products that people actually use, and the curiosity to push the boundary of what People Analytics can do through machine learning and AI.

This is a senior individual contributor role with real scope. You will own a portfolio of stakeholder relationships, co‑own the evolution of our data platform, and contribute to one of the most ambitious People Analytics strategies in the business.

• Data ecosystem quality: Lead the continuous improvement of the People Analytics data ecosystem — including pipeline quality, semantic layer, and the data products we share with other teams.
• 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.
• Machine learning and AI: Design, build, and deploy ML models and AI‑powered data products.
• Advanced analytics: Conduct analyses that go beyond what happened to explain why and anticipate what comes next.
• Enablement: Drive data fluency across your stakeholder groups through demos, documentation, training, and self‑service tooling.

• Broader product ownership: Expand into additional stakeholder groups and more complex, cross‑functional products.
• AI at scale: Build increasingly sophisticated AI products — from predictive models to deployed data applications used across the business.
• Strategic influence: Move further into consultative and diagnostic work, shaping how senior leaders interpret and act on people data.

• Significant experience as a data analyst or analytics engineer in a team with established data engineering practices.
• Strong SQL, with hands‑on experience in BigQuery or a comparable cloud data warehouse.
• Experience building and maintaining data pipelines with dbt or a comparable transformation tool.
• Experience building dashboards and data products end‑to‑end for business stakeholders, ideally in Looker.
• Excellent communication skills — able to translate complex data into clear, actionable insights for non‑technical audiences.
• Collaborative, enablement‑focused mindset: you build for self‑service, not dependency.

• Experience with machine learning or statistical modelling in a production context.
• Exposure to AI product development, LLM tooling, or data applications.
• Experience with data quality frameworks, semantic layers, or data observability tooling.
• Prior experience working with HR, people, or workforce data.

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.