Top Analytics Engineer Jobs in London

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.

The role involves building reliable data models for regulatory reporting, ensuring data quality, and automating workflows while collaborating with compliance stakeholders.

The Analytics Engineer will manage data transformation, ensuring clean data and business logic are well-defined for reliable insights, supporting company growth.

As an Analytics Engineer, you will design scalable data models, identify growth or savings opportunities, define performance metrics, and influence KPIs while addressing technical challenges and coaching team members.

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

As the first Analytics Engineer at Convatec, you will build scalable analytics foundations, create reusable metrics, develop datasets, and ensure reliable data availability while collaborating with technology teams.

As a Senior Analytics Engineer, you'll design AI-augmented workflows, build scalable data models, and enhance data governance practices, while collaborating with cross-functional teams.

As a Senior Analytics Engineer, you'll develop and maintain analytical data models, collaborating with engineering teams to enhance product insights and data quality.

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 Lead Analytics Engineer will oversee data architecture for borrowing, develop robust data models, enhance data governance, and improve data practices to enable financial goals for customers.

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

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

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.

The role involves leading the migration of reporting from SSRS to Snowflake, establishing best practices, and hands-on delivery of data models and pipelines.

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

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.

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.

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.

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.

The Senior Analytics Engineer at Intercom will design data pipelines, collaborate with teams to meet data needs, ensure data quality, automate reporting, and innovate data solutions for analytics.