Top Analytics Engineer Jobs in London

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

The Lead Analytics Engineer will mentor analysts, define the data infrastructure roadmap, build core datasets, and implement best practices for data modeling and tooling.

The Analytics Engineer will transform raw data into high-quality datasets, optimize data models, ensure data quality, and build data visualizations, collaborating with data analysts and engineers.

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.

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

As an Analytics Engineer at Dojo, you'll lead analytics initiatives, support data needs using dbt and Looker, mentor analysts, and work with diverse stakeholders to enhance commercial strategies.

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'll analyze business data, define metrics, create dashboards, and establish data governance while working across teams to enhance data-driven decisions.

As a Senior Analytics Engineer, you will design models, optimize data pipelines, collaborate with teams, mentor juniors, and promote AI readiness.

The role involves designing data pipelines, ensuring data integrity, collaborating with finance teams, and implementing data governance and monitoring frameworks.

The Analytics Engineer will build and maintain data models using dbt, optimize SQL queries, and collaborate with teams to ensure data quality and performance.

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.

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.

The Lead Analytics Engineer will guide the Analytics Engineering team, lead the dbt project, design data architecture, ensure data quality, and collaborate with cross-functional teams.

The Analytics Engineer will design and maintain Power BI dashboards, implement data models, and collaborate with stakeholders to ensure data solutions meet organizational objectives.

As a Software Engineer on the Catalog Insights team, you will deliver key product capabilities, design data pipelines, and collaborate cross-functionally on technical solutions to enhance customer experiences.

The Analytics Engineer at Upsun transforms raw data into metrics, collaborates with teams for data-driven decisions, and enhances operational efficiency in a remote culture.

The Analytics Engineer will translate data requirements, create reusable data models for financial analytics, maintain documentation, and collaborate with the data team to achieve business goals.

Design, build, and maintain a trusted semantic layer and reusable data models (dimensions, facts, metrics). Translate business logic into clear data specs, improve model reliability with testing and lineage, drive adoption across teams, standardize modelling conventions, and enable self-serve analytics for product, GTM, and finance stakeholders.

Design and maintain dbt data models and end-to-end pipelines, write complex SQL and macros, ensure data quality, build BI dashboards, and collaborate with analysts to maintain consistent metrics.

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, 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.