1 to 25 of 281 Analytics Jobs in the City of London

Understanding of MLOps and DevOps practices and infrastructure as code (e.g., CloudFormation, Terraform). Certifications: valid AWS Certified Solutions Architect Professional or AWS Data Analytics certification preferred. Technical Leadership: guide development teams in adopting best practices for AWS data architectures, ensuring solutions are robust, compliant, and cost-effective. Documentation: produce ...

native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge … Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting ...

Location: London Key Responsibilities Design, build, and maintain scalable data pipelines , ETL processes, and data integrations. Develop and optimize data models , storage solutions, and analytics environments. Partner with UX/UI designers to create user-friendly dashboards, data tools, and internal products . Implement visualizations that make complex datasets understandable ...

already be security cleared to one of those levels. Technical Expertise: Proven experience in data engineering, software development, or systems integration, preferably within AI, analytics, or enterprise platforms. Problem-Solving Skills: Strong analytical abilities with a knack for troubleshooting and optimising complex data workflows. Communication Skills: Excellent ability to engage ...

have an exciting opportunity for an experienced data & analytics professional to join the Performance team in London. Are you ready to make a different in a values-driven organisation? Can you transform varied data into meaningful insights & communicate effectively with diverse audiences to enhance organisational performance? Do you excel ...

Data Factory ETL, Matillion ETL and SQL Experience designing and managing Snowflake Data Warehouse solutions Strong experience with Qliksense, data modelling and self-service analytics Experience in API Development What you'll get in return An exciting opportunity to join an international organisation in financial services. Furthermore, a competitive ...

market data you will provide insight to stakeholders and managers regarding the the companies pricing of vehicles showcasing your stakeholder management skills and data analytics skills. The ideal candidate will be able to analyse data and provide insight to report findings to key stakeholders and managers therefore having excellent communication ...

supporting the implementation of governance standards, processes and tools to ensure the organisation can rely on accurate, well managed data for regulatory compliance, analytics and operational decision making, working under the direction of the business. Key Responsibilities Support the execution of strategic priorities for developing Data Governance capabilities, ensuring alignment ...

supporting the implementation of governance standards, processes and tools to ensure the organisation can rely on accurate, well managed data for regulatory compliance, analytics and operational decision making, working under the direction of the business. Key Responsibilities Support the execution of strategic priorities for developing Data Governance capabilities, ensuring alignment ...

optimise performance ✅ Translate complex findings into simple, actionable insights What We’re Looking For 🚀 Graduates up to 3 years’ experience in data science or analytics 🐍 Strong Python skills (pandas, numpy, scikit-learn) 🗄️ Solid SQL for data extraction and manipulation 📊 Experience with Tableau or Power BI is a bonus 🧠 Strong problem ...

SonarQube, Datadog, Soda, SSRS, etc. • Cloud: Azure, AWS (S3) basic • Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Key Responsibilities Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast ...

Title Senior Data Analyst (Service Delivery & AI Analytics) Department Service Delivery Location Remote or Hybrid (split between site-based and home-working) Country Flexible (UK/EU/US/Hong Kong) Level Individual Contributor Reports to Global Head of Service Delivery, IT & Repairs Contract Type Permanent/Full-time … forecasting and pattern-detection models to support operational planning and continuous improvement. In addition, this role will contribute to the evolution of AI-enabled analytics, using Python and modern AI tools (e.g. Copilot and ChatGPT-style agents) to enhance insight generation, automate analysis, and enable self-service reporting capabilities across ...

Cleared Data Engineers London or Manchester, Hybrid Defence & National Security Programmes Datatech Analytics is supporting a leading UK consulting and technology organisation as they continue to grow their secure data engineering capability across defence and national security. We are exclusively seeking active DV-cleared Data Engineers who want to work ...

growth. As part of your responsibilities, you will: Lead small and large multidisciplinary engagement and manage client relationship Design and develop quantitative models and analytics tools (e.g. derivatives pricing, market data methodologies, XVA, capital models, market and counterparty credit risk modelling) Provide thought leadership in quantitative methodologies, pricing techniques, risk ...

disciplinary teams and budgets. Technical expertise: Deep technical knowledge of the entire data science lifecycle, including data engineering, machine learning, and MLOps. Programming and analytics: Proficiency in programming languages such as Python, R, or SQL, and experience with various data science and machine learning libraries. Experience with libraries/frameworks ...

business decision-making. You will work closely with data architects, product teams, analysts and data scientists to deliver robust data solutions that power analytics, reporting and advanced data products across our retail organisation. This role requires strong hands-on experience in modern cloud data platforms including Snowflake … Monitor, troubleshoot and enhance production data pipelines to ensure performance, reliability and data integrity. Write and optimise complex SQL queries to support high-performance analytics workloads. Implement flexible Data Vault models in Snowflake to support enterprise-scale analytics and business intelligence. Build and maintain scalable cloud-based data solutions using ...

Company They are a Digital Solutions agency with offices across the UK and internationally. Known for delivering impactful media, data, and analytics solutions, they partner with major B2B and B2C brands across multiple industries. The Role You will join the Consulting Analytics team, reporting into a supportive Analytics Director … working closely with a Senior Consultant. Your work will span marketing/web analytics, and data science‐aligned initiatives. Projects cover a variety of sectors and will give you the chance to build your client‐facing experience. Key responsibilities include: • Working in Google Cloud and BigQuery to support media ...

Responsibilities: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science and analytics teams to deliver robust measurement and optimization tools. Lead initiatives to integrate generative AI into marketing workflows, including content generation and ad creative optimization. Conduct ...

PRODUCT OWNER Overview: This company provides a cloud-based data and analytics platform for financial institutions, enabling deeper insight into market activity and supporting trading and research functions. The platform helps firms access and work with large volumes of structured market data more efficiently, reducing the operational burden of sourcing ...

Participate in a shared BAU support rota (across technology and quantitative teams), providing exposure to diverse areas of the business Collaborate closely with engineering, analytics, and risk teams Continuously improve platform reliability, security, and performance Tech Stack Infrastructure as Code: Terraform Cloud Platforms: AWS, Azure Programming Languages: Python, Rust Databases ...

performance optimization, and row-level security Working knowledge of enterprise data products, semantic models, and data governance Understanding of modern data platforms and analytics ecosystems (e.g. Azure ADF, Fabric, Databricks, Power BI) Experience contributing to managed services or platform-based product solutions Clear, concise communicator with strong stakeholder management skills ...

hardware migrations Manage containerized applications and microservices using Kubernetes, ensuring high availability, performance, and scalability Deliver end-to-end monitoring, logging, and data analytics solutions Write and maintain robust Python code for test automation (Robot Framework) and scripting Work closely with developers, testers, and other engineers to troubleshoot and resolve ...

Monitoring and Screening applications, thus ensuring that the processes are both effective and efficient in detection. This role is part of a Fraud analytics capability within this 1LoD working to ensure that our Fraud Screening system is working at peak effectiveness and efficiency. Whilst based within 1LoD, liasing with colleagues ...

About NTT DATA Business Solutions: About NTT DATA Business Solutions: NTT DATA Business Solutions Group is part of the NTT DATA Corporate Group, a top 10 global IT services provider headquartered in Tokyo, operating in ...

days a week. Technical Requirements Proven experience leading data teams in a SaaS, fintech, or regulated technology environment. Strong background in data engineering and analytics – no need to code. Experience scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. ...