Top Analytics Engineer Jobs in London

The Business Intelligence Developer will create and maintain dashboards in Looker, gather requirements, collaborate with data engineers, and manage Looker user permissions while fostering a data-driven culture.

As a Lead Analytics Engineer, you will mentor analysts, drive data infrastructure roadmaps, build core datasets, and advocate for new tools like dbt while implementing data modeling best practices.

The Analytics Engineer will build data pipelines, perform data analysis using SQL, and create visualizations to support stakeholders. You will work with various teams to improve data insights and enhance data products.

Join a team building innovative products on Cloudflare's network, focusing on performance and reliability in delivering software solutions.

As an Analytics Engineer, you'll maintain and develop SQL scripts, manage data modeling, and optimize data sets in Looker for analytics teams.

The Analytics Engineer will design and implement scalable dimensional models, optimize SQL scripts, and ensure data integrity for global clients.

The role involves delivering data solutions using Power BI and automating processes with Power Apps and Power Automate, alongside collaborating with various stakeholders.

The Analytics Engineer will build and maintain data models, optimize SQL queries, and collaborate on analytics projects to ensure data quality and accessibility.

Develop and enhance Cloudflare's analytics and reporting capabilities, focusing on full-stack solutions leveraging large-scale data analytics while collaborating with engineers and product managers.

The Data Analytics Engineer will collaborate with teams to enhance data solutions, build data pipelines, dashboards, and support decision-making through data analysis.

The Analytics Engineer I will design and build data pipelines, maintain data integrity, collaborate with Finance teams, and implement governance standards.

The Analytics Engineer transforms data into insights by developing data pipelines, collaborating on analytics solutions, leading initiatives, and implementing DataOps and CI/CD practices.

As an Analytics Engineer, you will optimize data access, maintain data pipelines, and support various teams with high-quality data using tools like Fivetran and Snowflake.

The Analytics Engineer at GoHenry will design, build, and maintain data models, collaborate with teams to enhance data processes, and contribute to data observability and upkeep of data warehouses.

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

The Junior Analytics Engineer will create data products, ensure platform quality, support data users, and collaborate across teams for data-driven decisions.

As a Revenue Analytics Engineer, you'll manage financial pipelines, analyze revenue data, develop reports, and collaborate with various teams to enhance financial performance through insights.

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, you will build and maintain data models, contribute to dbt projects, and ensure high data quality while collaborating with multiple teams.

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.

As Analytics Engineer, you'll build and optimize data transformations and models, monitor data quality, and collaborate with stakeholders to enhance decision-making.

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

The Senior Web Analytics Developer will lead web data collection efforts, ensure data integrity, build tracking frameworks, analyze user behavior, and deliver actionable insights to enhance customer experiences across digital platforms.

The Analytics Engineer II will develop data products, optimize data schemas, build data pipelines, and collaborate with teams to improve data quality and insights.

As an Analytics Engineer, you will develop data models, collaborate with teams on datasets, ensure data quality, and identify opportunities to enhance decision-making through analytics.