1 to 25 of 226 Analytics Jobs in Central London

bring: Data Engineering A solid understanding of data engineering principles, including data modelling, data quality and reusability. Experience designing data structures that support analytics and reporting (e.g. Power BI). Digital & Software Engineering Experience delivering software solutions using agile practices, including backlog management, version control and CI/CD pipelines. ...

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 ...

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 ...

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 ...

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 ...

digital and data function supporting a modern, cloud-based data platform. This role focuses on building reliable, secure, and scalable data solutions that enable analytics, operational reporting, and data-driven decision making across the organisation. You will work closely with technical and non-technical stakeholders to deliver well-engineered data ...

integrations, and data integrity, aligned with firm-wide enterprise architecture. * Stay abreast of emerging tech trends, such as artificial intelligence (AI), automation, and data analytics and evaluate applicability to the firm's operations. IT Applications Manager/Applications Manager Knowledge, Sills and Experience: * Proficient in SQL, C#, Python, Java, HTML ...

confidently. Utilise AI in all workflows as a key driver for data. What You Bring 5+ years of hands-on experience in data analytics . Commercial experience with DBT and Snowflake. A very keen interest and experience in AI. Proficiency in SQL, Python, and Excel. Experience with version control tools ...

quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake ...

methodologies ServiceNow Development Manager ITIL Foundation certification Desirable: Master's degree in relevant field ServiceNow CIS certifications in multiple areas Experience with ServiceNow Performance Analytics and Predictive Intelligence Knowledge of cloud platforms (AWS, Azure, GCP) Project Management certification (PMP, Prince2) Familiarity with DevOps practices and CI/CD pipelines Previous ...

intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data ...

exposure management, automation, and direct underwriting support across specialty and casualty lines. Additionally it could suit someone already in an Exposure Management or Insurance Analytics role. The Role: The Exposure Management team supports underwriters with the monitoring and management of non-elemental loss exposures, working closely with the elemental catastrophe ...

Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. ...

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 ...

solving Background in Managed Services, IT Services, or Software Development Knowledge in areas such as DevOps, CI/CD, SRE, Secure Software, Data Governance, Analytics, Cloud, Platforms, SaaS Business-driven architecture approach focused on CX and journeys Comfortable in fast-paced, global environments Strong commercial/pricing understanding Continuous learning ...

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 ...

public sector Strong understanding of the public sector landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building ...

stakeholders. At least 3 years of experience in AI solution engineering. Large Language Models experience including prompt engineering and RAG implementations. Expert data analytics, MLOps practices and API development. Desirable knowledge in Docker and Kubernetes ...

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. ...

data, or financial workflows Exposure to event-driven architectures or middleware platforms (e.g. Mulesoft) Experience working in Agile/Scrum teams Knowledge of reporting, analytics, and large-scale data volumes There is a 2 - 3 stage interview process with interview slots. Apply now to be considered ...

initially, potential to be extended IR35 Determination: Inside We are recruiting for our valued client. A well-established organisation operating in the data and analytics sector, supporting major brands with insights that inform strategic business and marketing decisions. They are currently seeking an experienced ERP Project Manager with strong Microsoft ...

Services, including monitoring, patching, incident response, and ongoing environment optimisation. Emerging Technologies Evaluate automation, workflow tools, and AI-driven operational platforms. Identify opportunities for analytics, modern data tooling, and ML-based insights. Key skills 4-5+ years in corporate IT, system engineering, or technology consulting. Strong understanding of cloud ...

3+ years exceeding quota selling UK apprenticeship standards (Digital, Data, Tech or Leadership). Data & AI Literacy: able to hold credible conversations on data analytics, data engineering, MLOps and emerging AI tooling. Consultative/MEDDIC Methodology: expert in discovery, ROI modelling, proposal crafting and multi‐stakeholder negotiation. Network: existing relationships ...

building internal and client-facing tools used across marketing teams Developing data-driven applications on top of cloud data platforms Working closely with analytics teams and senior stakeholders to prioritise what to build next Creating automation and AI-powered workflows to support campaign management and optimisation Improving data pipelines, models ...

skills to solve complex data challenges Knowledge of relational, dimensional, and enterprise modelling concepts, including cloud and big data environments Experience with SQL, data analytics platforms, APIs, and database technologies Familiarity with Software Delivery Lifecycle (Agile and Waterfall) and software engineering principles Excellent communication skills, able to engage technical ...