Top Analytics Engineer Jobs in London

As an Analytics Engineer, you will design and maintain data infrastructure, develop data pipelines, and ensure data quality while collaborating with teams to leverage analytics insights.

Lead the Analytics Engineering team to enhance data capabilities and governance, ensuring high performance and alignment with business objectives. Drive a product-focused culture, maintain data quality, and enhance team growth and collaboration.

The Lead Analytics Engineer will mentor analysts, manage data infrastructure, build core datasets, promote tooling adoption, and implement best practices.

The Analytics Engineer will build data architecture, ensure data quality, develop ELT pipelines, and support business stakeholders with data insights.

As an Analytics Engineer, you will build reliable data models and automate workflows for regulatory reporting, ensuring data quality and compliance across Coinbase's international presence.

The role involves transforming raw data into analytics-ready datasets, deploying data models in DBT, designing reports and dashboards, and collaborating with various stakeholders to ensure effective data solutions.

The Analytics Engineer will lead data modeling, develop pipelines, conduct analyses, and collaborate across teams to produce actionable insights that drive business decisions.

As an Analytics Engineer at Birdie, you will develop data models and success metrics to empower care teams, ensuring data quality while delivering insights for better home healthcare.

As an Analytics Engineer, you'll create trustworthy data models, improve data quality, collaborate with teams, and support self-serve analytics at Our Future Health.

The Analytics Engineer will design and maintain data models and pipelines, create dashboards, document KPIs, and promote data best practices across teams.

The Analytics Engineer will develop data transformation pipelines, ensure data quality, partner with teams for data products, and promote best practices in analytics engineering.

The Analytics Engineer will design and implement scalable data models, enabling insights on product performance, and shaping product evolution by collaborating with product teams.

As an Analytics Engineer, you'll design and maintain data models, partner with product teams to provide insights, and ensure data accuracy and governance, contributing to a scalable data platform.

Responsible for developing customer-facing APIs, enhancing alerting platforms, optimizing analytical queries, and ensuring operational health of systems in a distributed data environment.

The Lead Analytics Engineer will oversee the data models, lead the dbt project, ensure data quality, and strategize cross-functional data opportunities while mentoring the team.

Lead design and evolution of core analytical data models, define analytics engineering standards, build and optimize ETL/ELT pipelines, own the BI/semantic layer (Looker/LookML), drive data quality and governance, partner with cross-functional teams, and mentor analytics engineering across the company to enable reliable, scalable decision-making and experimentation.

Build, model, test and productionise data assets using dbt and BigQuery, maintain Looker semantic layer, improve data quality and documentation, collaborate with analysts, data engineers and product teams to enable self-serve analytics and scalable data platform improvements.

As an Analytics Engineer, you will implement data visualizations, manage analytics lifecycle, mentor junior team members, and drive the adoption of Sigma Computing.

The Analytics Engineer will develop digital data models from web and app data, support analysis and experimentation, and ensure data integrity for optimized customer experiences.

The Analytics Engineer will manage the data platform, design data models, ensure data quality, and collaborate with various teams to enhance data usage and analytics automation. You'll leverage modern tooling to support a self-serve analytics culture.

The Analytics Developer will design and build ETL pipelines, develop data models, create dashboards, and ensure data governance compliance to support analytics-driven decision making in healthcare communications.

Build, maintain and document tested, reusable datasets and data marts using dbt and cloud warehouses. Own daily operations, troubleshoot issues, perform code reviews, validate data, and collaborate with stakeholders to deliver analytics solutions and improve team practices.

Responsible for company-wide analytics, managing data accuracy, collaborating with product and engineering teams, and delivering actionable insights.

Build BI solutions and Looker dashboards for B2B products, analyze content licensing and contributor costs, automate cost reporting, collaborate with Product/Finance/Partnerships, and deliver partner-facing analytics and insights to optimize revenue and margins.

As a Lead Analytics Engineer, you will transform Prolific's data infrastructure, optimizing data models and ensuring data accuracy and accessibility while supporting BI teams and mentoring junior analysts.