Top Analytics Engineer Jobs in London

Lead data strategy for the Credit Product team, manage data models, collaborate with stakeholders, and maintain high data quality in a fast-paced environment.

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

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

The Analytics Engineer will design and build Power BI solutions, define DAX measures, develop dashboards, and work with stakeholders to translate reporting needs into technical specifications. Requires extensive experience in Power BI and analytics engineering.

The Analytics Engineer will transform raw data into insights, manage the data stack, automate processes, and engage with stakeholders to optimize data usage.

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 Senior Analytics Engineer will build and maintain data products and infrastructure, collaborate with teams, mentor other engineers, and enhance data-driven decision making across the organization.

The Data Product Owner will design and manage analytics products, driving product delivery, optimizing architectures, and collaborating with stakeholders to meet business needs.

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 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 designs and implements data models, ensures data quality, collaborates on requirements, and manages data governance in a hybrid working environment.

As a Senior Analytics Engineer, you'll design and maintain data models, create dashboards, and ensure data quality, working closely with various stakeholders.

The Analytics Engineer will manage analytics engineering relationships, develop data models and tools, and apply software engineering practices to optimize data-driven decisions.

As an Analytics Engineer II, you will build and maintain analytical data models, collaborate on data pipelines, and contribute to key metrics and dashboards to support decision-making.

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.

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.

Design and maintain data models and transformations using SQL; implement integrations across platforms, ensuring solutions are scalable and secure.

Design and maintain data models using SQL and modern platforms like Snowflake, optimize operational solutions, and ensure compliance with governance standards.

You will design and manage data platforms for ZOE's commercial decision-making, focusing on GTM, data layers, and high-quality data pipelines using tools like BigQuery and GCP. You will ensure accurate tracking, build data infrastructure and collaborate with engineers on events and data models.

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.

The Quant Developer will design and deliver trading analytics tools, build data pipelines, develop backtesting frameworks, and optimize quantitative applications for the Equities Tech team at Citi.

The Senior Data Analytics Engineer will develop automated reporting solutions, analyze data across business functions, and enhance data quality. Collaboration with internal teams to drive self-service analytics and establish reporting standards is essential.

The Senior Analytics Engineer will manage NALA's data transformation layer, oversee data streams, enforce coding standards, optimize costs, and support analysts in best practices.