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Top Analytics Engineer Jobs in London
As an Analytics Engineer, you will design, develop, and maintain scalable data pipelines while ensuring data integrity and quality. You will collaborate with cross-functional teams, support data-driven decision-making, and identify improvement opportunities in data operations.
As a Cyber Risk and Analytics Engineer, you will develop innovative cyber risk models, analyze cybersecurity data, and research emerging threats. Collaborating with cross-functional teams, you'll create risk metrics and communicate insights to stakeholders, driving decision-making in the insurance industry.
In this role, you will develop new products on Cloudflare's network, ensuring high reliability and performance. Responsibilities include designing solutions, shipping features across technologies, fixing bugs, and participating in on-call rotations. Collaboration and documentation are emphasized in this position.
The Commercial Data Analytics Developer will analyze marketing data and collaborate with the marketing team to translate business requirements into insights. Responsibilities include statistical modeling, BI report development, and improving marketing data models to enhance customer experiences.
As a Solutions Engineer focused on Log Management and Analytics at Dynatrace, you'll support the sales team by delivering technical demonstrations, managing proof of concepts, and developing client relationships. Your role will involve presenting to executive audiences, providing technical guidance during the sales cycle, and collaborating with various teams to enhance product offerings and drive sales success.
As an Analytics Engineer, you'll design and develop data pipelines, ensure data integrity, and support data-driven decision-making using GCP services like BigQuery. You'll collaborate with teams to deliver data solutions and provide training on data engineering and analytics.
The Data Analyst will enhance data access for decision-making, embodying kindness and collaboration while dissecting data and creating valuable insights. Responsibilities include designing analytical solutions, guiding business users, driving efficiency, and fostering teamwork to achieve the organization's goals in the esports industry.
As a Senior Data Analytics Engineer, you'll join the Product Analytics team to create insights on product performance. Your role involves designing and implementing data models, ensuring data quality, and improving analytics workflows, while collaborating closely with product managers and data scientists.
As an Analytics Engineer, you will build and maintain the data platform, ensuring high-quality data access across the organization. You will create data pipelines, optimize delivery, and collaborate with various teams on data-related issues.
As a Quantitative Developer focusing on PnL reporting and trading analytics, you will develop and maintain reporting pipelines, contribute to the trading system, and optimize performance. Key responsibilities include implementing features, debugging, collaborating with researchers, and ensuring software quality through testing.
The Senior Analytics Engineer at Viator will optimize data models and enhance the experimentation platform, working alongside various stakeholders to ensure accuracy and accessibility in data reporting. The role focuses on executing projects to improve experimentation capabilities and resolving complex data issues.
As a Senior Analytics Engineer at Snowplow, you will develop and maintain SQL data models using DBT, engage in data modeling projects, collaborate with product and engineering teams, and support customer-facing initiatives focused on leveraging Snowplow's data for insights and advanced analytics.
Join the quantitative analytics team to develop valuation and risk calculations for various products. Responsibilities include the full software development lifecycle, collaborating with quant analysts, and sharing engineering expertise across teams.
As an Analytics Engineer at Accurx, you will maintain the data warehouse's presentation layer, build data models for analysis, collaborate with data analysts and BI specialists, enhance data design and performance, and support the company's long-term data strategy by promoting data governance practices.
The Senior Platform Engineer will design and build analytics platforms, working in cross-functional teams to enhance systems supporting health research. Responsibilities include participating in architecture design, engaging in agile practices, delivering high-quality software, and supporting operations teams. This role emphasizes collaboration and integrating new data sources.
The Data Engineer will design and develop scalable data pipelines on GCP, ensuring high data quality and reliability. Responsibilities include collaborating with internal teams to meet business data requirements, implementing data transformation logic, troubleshooting pipeline issues, and delivering training on data engineering principles.
As a Lead Data Engineer at Kainos, you will design and develop data processing software for scalable solutions. You will lead a team, ensure code quality, define best practices, and handle the non-functional requirements of data pipelines while maintaining operational readiness and compliance with security standards.
The Senior Data Platform Engineer will lead the implementation of Kobalt's new Data Platform strategy, focusing on shared infrastructure, access control, cost allocation, and tooling for Data Engineers and Analysts to create and consume data products. They will engage with stakeholders and enhance business efficiency through the strategic use of data and AI.
Top London Companies Hiring Analytics Engineers
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