Top Analytics Engineer Jobs in London

As a Data Analyst at EFG, you will be responsible for understanding customer needs, driving data-driven decisions, and improving data quality and efficiency. You'll encapsulate business logic in the data warehouse, create analytical solutions, and develop visual storytelling through dashboards while inspiring and guiding team members.

As an Analytics Engineer at Fospha, you will design and maintain scalable data pipelines, ensure data integrity, and support cross-functional teams with data-driven insights. Your role includes optimizing data processes, implementing ELT methodologies, and collaborating on data models used by data professionals.

As an Analytics Engineer at Moonpig, you will lead data transformation processes, manage the Snowflake platform, ensure data integrity through quality checks, and collaborate with stakeholders to meet data needs, all to support data-driven decision-making and enhance customer experiences.

The Analytics Engineer will work closely with financial crime and onboarding teams to identify issues and use data for decision-making. Responsibilities include translating data requirements into models via dbt, developing data models in Looker, conducting data analysis, and collaborating with the data team to achieve business goals.

As an Analytics Engineer, you will manage data modeling pipelines, ensuring successful orchestration of data flows, communicating with stakeholders, and training others in best practices. You will also seek automation opportunities and improve transformation processes.

The Analytics Engineer (Credit) at Starling will translate data requirements into robust data models, focusing on credit regulatory submissions, maintain documentation, collaborate with the data team, and manage projects end-to-end.

As an Analytics Engineer at Accurx, you will maintain and improve the presentation layer of the data warehouse, build data models, collaborate with analysts to meet reporting needs, innovate on design and performance, and uphold data governance standards to enhance self-serving data access for stakeholders.

Join a leading digital analytics company as a Cyber Risk and Analytics Engineer. Collaborate with experts to develop innovative cyber risk models for the insurance industry. Use Python, SQL, and big data frameworks to analyze cyber threats and craft risk solutions. This role offers the opportunity to make a difference in cybersecurity and impact real-world decisions.