2,651 to 2,675 of 6,104 Analytics Jobs in London

integrations, cloud security, IAM governance, monitoring, logging, and production BAU support. Configure and manage application observability using Datadog (or equivalent), including dashboards, APM, log analytics, infrastructure monitoring, alerting, and operational health reporting. Collaborate with architects, developers, security teams, and business stakeholders to deliver secure, resilient, scalable, and cost-effective cloud … authentication, routing, policies, transformations, and API integrations. Strong experience with Datadog (or equivalent monitoring platform) for dashboard creation, application monitoring, alert configuration, APM, log analytics, and performance troubleshooting. Excellent communication, stakeholder management, and client‐facing skills. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Must currently reside ...

business requirements in the form of user stories. Partner with distributed technology and operations teams to keep deliverables on track. Advocate data insights and analytics to guide strategic priorities and decision making. Execute the roadmap, meet critical deadlines, and manage budget constraints. Integrate customer feedback, data analytics, product metrics, user ...

Legal platforms with a focus on SAP SuccessFactors and employee experience solutions Design AI-enabled HR and Legal solutions (e.g., copilots, automation, personalization, analytics-driven insights) Lead integration architecture across HR, Legal, enterprise systems (ERP, CRM), and external platforms Translate business requirements into scalable, secure, and reusable solution designs Ensure … Talent, Learning, or Experience modules) Strong understanding of employee experience platforms and legal workplace solutions Experience delivering AI solutions (e.g., chatbots, copilots, automation, personalization, analytics) Hands‐on experience with enterprise integrations (APIs, middleware, event-driven architectures) Strong data architecture knowledge (data models, data pipelines, governance, analytics. Cybersecurity, PII management) Experience ...

clients' operations. You will be the person in the room when a competitive intelligence director, a clinical operations lead or a VP of Commercial Analytics wants to understand what our data can do inside their own environment. You will run the discovery, scope the work, and, where needed on major … honestly and well: what we cover, where it comes from, how it's derived, how often it refreshes. AI data strategy Work with Research & Analytics and Product to make sure our pharma datasets are structured, documented and genuinely usable through APIs, MCP and Snowflake. Feed what you learn in client ...

configuration and launch of personalisation programs using knowledge of the underlying technology stack. Implement and configure integrated solutions, understanding the capabilities of personalisation platforms, analytics suites, and CDPs. What we’re looking for: We are seeking someone with a strong blend of technical skills, execution focus, and effective communication. Technical … Technologies: Solid understanding and practical experience with core customer experience technologies, including: Personalisation Platforms: (e.g., Adobe Target, Optimizely, Braze) for content delivery and targeting. Analytics Suites: (e.g., Google Analytics 4, Adobe Analytics, Amplitude) for segmentation and performance measurement. Content Management Systems (CMSs): (e.g., Adobe Experience Manager, Sitecore) for dynamic content. ...

Legal platforms with a focus on SAP SuccessFactors and employee experience solutions Design AI-enabled HR and Legal solutions (e.g., copilots, automation, personalization, analytics-driven insights) Lead integration architecture across HR, Legal, enterprise systems (ERP, CRM), and external platforms Translate business requirements into scalable, secure, and reusable solution designs Ensure … Talent, Learning, or Experience modules) Strong understanding of employee experience platforms and legal workplace solutions Experience delivering AI solutions (e.g., chatbots, copilots, automation, personalization, analytics) Hands-on experience with enterprise integrations (APIs, middleware, event-driven architectures) Strong data architecture knowledge (data models, data pipelines, governance, analytics. Cybersecurity, PII management) Experience ...

with main trading arms in London, Houston and New York. Our role in MQA is to develop and support the modelling and analytics needs of the business, which involves close work and co-ordination with the respective trading desks and functions, as well as our partners … markets, as well as developing cutting edge solutions to allow the business to grow and adapt through changing market conditions. What you'll doDevelop analytics libraries used for pricing and risk-managementCreate, implement, and support quantitative models for the trading business leveraging a wide variety of mathematical and computer science ...

prioritized product backlog and roadmap. Drive improvements to user experience, product performance, reliability, and adoption through data-informed product decisions, user research, telemetry, operational analytics, and customer insights. Establish product success measures and use product health metrics, operational KPIs, customer satisfaction, and usage analytics to continuously evaluate outcomes, prioritize investments … needs into strategic roadmaps, and deliver measurable outcomes through cross-functional teams. Strong product management expertise with a customer-centric mindset, using user research, analytics, telemetry, and feedback to shape product direction and investment decisions. Demonstrated success leading multidisciplinary product teams and influencing engineering, architecture, security, UX, and business stakeholders ...

practices that embed technology-driven approaches into daily operations and long-term asset management. Lead the continuous improvement agenda, utili s ing building data analytics and performance insights to drive optimi s ation across all engineering disciplines. Create and maintain the strategic roadmap for technology adoption, system upgrades, and capability … nature. Technology Integration & Innovation Champion the adoption and optimi s ation of sophisticated building technologies including advanced BMS, IoT platforms, predictive maintenance systems, building analytics, and energy management solutions. Ensure all engineering activities leverage smart building capabilities for diagnostics, performance monitoring, predictive maintenance, and operational optimi s ation. Drive technology ...

team at DoorDash builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership … backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized ...

prioritisation. Partner closely with Engineering, Data, and Product teams to deliver scalable screening capabilities aligned with infrastructure and migration initiatives. Ensure screening criteria, results, analytics, and workflows are delivered consistently across user interfaces, APIs, data products, and AI-enabled experiences. Define success metrics and measure impact through adoption, client engagement … challenges of coverage, comparability, quality, and discoverability. Familiarity with Funds, Indices, or other adjacent financial datasets. Experience working with data systems, APIs, data modeling, analytics platforms, or large-scale query workflows. Ability to operate across technical and business domains, partnering effectively with Engineering, Data, Sales, and Product stakeholders. Proven ability ...

improvement of KAM practices globally, ensuring consistent customer engagement, account planning excellence, and value creation across markets. Working closely with commercial, medical, market access, analytics, IT, and learning teams, the Global KAM Principal will build a scalable and effective operating model that balances global consistency with local market needs. … growth planning. Performance Management & InsightsEstablish a comprehensive KAM performance management framework incorporating KPIs, leading indicators, customer outcomes, and value creation metrics. Partner with Commercial, Analytics, and IT teams to develop global dashboards and reporting capabilities that provide actionable account insights. Implement globally consistent reporting standards that enable performance tracking, benchmarking ...

priorities (e.g., fund attributes and taxonomy, identifiers, content sources, data quality controls and governance). Align across adjacent platforms and product teams (e.g., CMS, analytics/tagging, site search, personalisation and related digital tooling) to ensure a cohesive end-to-end EMEA experience and avoid fragmented delivery. Communicate with clarity … agency or online retailer. Including extensive CMS product knowledge and experience of Adobe Experience Manager (AEM) A working appreciation for UX, SEO and web analytics understands how different audiences have different requirements with the ability to recognise user needs and layout pages to meet them Be an advocate for digital ...

priorities (e.g., fund attributes and taxonomy, identifiers, content sources, data quality controls and governance). Align across adjacent platforms and product teams (e.g., CMS, analytics/tagging, site search, personalisation and related digital tooling) to ensure a cohesive end-to-end EMEA experience and avoid fragmented delivery. Communicate with clarity … agency or online retailer. Including extensive CMS product knowledge and experience of Adobe Experience Manager (AEM) A working appreciation for UX, SEO and web analytics understands how different audiences have different requirements with the ability to recognise user needs and layout pages to meet them Be an advocate for digital ...

sits AI & Data, the practice that builds the data-led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation … within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating ...

execution solutionsAnalyze e‐trading performance, client behaviour and market structure to identify trends, opportunities and anomalies, and proactively drive revenue generationDevelop and maintain client analytics, dashboards and performance metrics to optimize the electronic trading franchise and support strategic decision makingManage client tiering frameworks through data-driven analysis and collaboration with … growth of clients across electronic venues (e.g. Bloomberg, Tradeweb), including pipeline management and process improvement initiativesPartner with technology teams to enhance automation, infrastructure and analytics capabilities within the eRates businessContribute to the development of new business metrics and tools in collaboration with e‐Strats, helping to scale the electronic platformEngage ...

partnerships with capital providers and quota share partners make us nimble. Our breadth of expertise and capabilities deliver outstanding market returns. The role The Analytics Product Engineering team at The Fidelis Partnership (TFP) builds and manages a bespoke analytical platform that powers our partnership-driven business model. We combine actuarial … expertise with advanced technology to deliver innovative, scalable solutions. The Platform Engineer partners with the Analytics product engineering team to design, build and operate platform capabilities that enable our market leading high-performance, distributed computing products to run reliably, securely and efficiently at scale. This includes infrastructure automation, runtime orchestration ...

help you fit everything in and work when you are the most productive About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information … vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare ...

culture. We provide insurance for over four million customers, but we know there's even bigger opportunity out there – our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge. We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great … array of datasets, some unique to Hastings, to work with to enhance our models and maintain our position as a leader in data and analytics in the UK general insurance market. This role focuses on deep analysis of our portfolio through new and existing data to support iterative improvements ...

standards Who Are We Looking For? The ideal candidate will have the following skills and experience: Strong SQL skills Strong Python skills for dataframe analytics using pandas or polars Confident use of AI coding assistants with sound judgment and validation Financial markets domain knowledge A collaborative approach to working with … stakeholders An automation-first mindset to reduce RTB and eliminate recurring manual work Nice to have: Familiarity with Git, notebooks and reproducible analytics practices Experience working with engineers in modern deployment environments such as containers or Kubernetes Why Join Us? Highly competitive compensation plus annual discretionary bonus Lunch provided ...

thin. Our Team You’ll be joining as an Engineering Manager supporting both Raylo’s up-and-coming Business Growth team, and the Data & Analytics pod. Both are relatively small teams, adding up to 5 engineers in total, but the title and remit of this role doesn’t describe … ambition and diversity of its scope!! Between the budding dedicated Raylo Business area, data engineering, analytics engineering, and even the “AI accelerator” pod (where we have our first AI Engineer), this role will drive some of the core pieces that contribute to Raylo’s success! You’ll balance technical leadership ...

design and delivery of Accounting Center solutions, including accounting rules, journal generation frameworks, and source data integration. Architect and oversee Prism Analytics data pipelines, datasets, and reporting solutions to support financial insights and decision-making. Drive solution design workshops, translating complex business and data requirements into scalable Workday configurations. Define … implementation experience, including Accounting Center and/or Prism Analytics. Proven expertise in: Accounting Center design (accounting rules, journal processing, event-driven accounting)Prism Analytics (datasets, pipelines, reporting, and data modelling)Strong understanding of core finance processes, including general ledger, accounting, and financial reporting. Experience delivering data transformation and reporting ...

products powered by real engagement data Benchmarking platforms with traceable, evidence-backed insights Scalable data pipelines (ingestion, structuring, normalization) User-facing tools (self-serve analytics, copilots, dashboards) How You’ll Work Partner with domain experts to identify high-value problems Work with engineers, data scientists, and AI teams to build … what to build, why, and for whom Ability to operate in ambiguity and define clarity Data & Technical Depth Experience with data models, pipelines, and analytics systems Familiarity with AI/ML or data extraction (e.g., NLP) preferred Comfortable working closely with engineering teams Execution Bias for action; able ...

start from the problem statement and work backward to the technology. Your deep functionalexpertise in market data, portfolio/index management, and financial data analytics enables you to designplatforms that meet both functional and non-functional requirements.You will be at the forefront of our AI transformation, championing the adoption … trade-offs between cost,security, scalability, testability, and maintainability• **Market data systems experience:** Significant background in market data, portfolio/indexmanagement, or financial data analytics• **Real-time systems knowledge:** Understanding of real-time systems and/or cloud-based real-timemethodologies• **AI advocate:** Hands-on experience using AI technologies ...

business continues to expand rapidly, optimising core financial operations to match our growing scale is critical. This role sits in the Finance Analytics and Solutions team, which is the process improvement hub for Finance; working across technical data & analytics skillsets to stand up reporting capability, design data-led processes … comparably autonomous environment Exposure to financial services, energy, leasing, billing, securitisation or other complex finance and operational systems Finance process improvement, workflow automation, data analytics, SQL or low‐code automation experience — enough to have a real conversation with engineers and data people Practical AI literacy — you’ve used AI tools ...