1,276 to 1,300 of 6,354 Analytics Jobs in London

About the Role Grade Level (for internal use): 09. The Team: S&P Global (SPGI) is a leader in credit ratings, benchmarks and analytics for the global capital and commodity markets. Reporting to the Director for Internal Audit, you will be part of a diverse Internal Audit team with coverage … effective remediation. Build and maintain productive working relationships with business unit management, acting as a trusted, objective advisor while maintaining independence. Leverage data analytics, automation, and emerging technologies to enhance audit efficiency, coverage, and insight. Contribute to the continuous improvement of Internal Audit practices by staying current on audit standards ...

whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products … with regulatory developments, industry standard methodologies, and emerging data trends Collaborate with your team and partners to improve scoring models with automation and predictive analytics Present findings and recommendations to senior leadership and internal partners Showcase clear progress with clear critical metrics Partner with Product and Engineering to ensure deliverables ...

with a dotted line to the IT Director, and work closely with the Principal Data Engineer, the Data Engineering Manager, the Head of Pricing Analytics and the Data Products Manager. You'll also engage directly with commercial, marketing, and finance stakeholders, and with IT, Legal, Infosec and the wider architecture … contracts for integrations with the GDP and other agreed priority systems, covering ownership, fields, keys, formats, quality expectations, refresh, and change management. Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read ...

standards for marketing datasets, including documentation of metric definitions and data lineage Identify opportunities to automate recurring reporting and improve the efficiency of the analytics function Collaborate with data engineering to influence the underlying data model where it affects marketing reporting needs Mentor junior analysts on best practices … Deepnote (or comparable notebook tools such as Jupyter): comfortable using Python/SQL in a notebook environment for analysis beyond dashboarding Confident with Google Analytics and Excel Solid grounding in marketing metrics and measurement frameworks across paid, owned, and earned channels Ability to communicate technical findings to non-technical audiences ...

cross‐functional teams Additional Knowledge & Skills Strong communication skills for presenting research findings, design rationale, and recommendations to stakeholders. Ability to work with data analytics (e.g., heatmaps, behavioural analytics, conversion metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with ...

develop technical strategies that expand platform usage. The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

share best practices and drive global service improvements. Support strategic initiatives and roadmap projects led by the Global Support Director. Enhance internal reporting, analytics, and productivity processes using tools like Power BI and Tableau. Experience & SkillsEssential: Proven experience leading technical support teams and meeting SLA targets. Strong background … servers, Windows OS.Demonstrated success in performance management and team development. Skilled in managing escalations and building relationships with blue-chip clients. Proficient in data analytics and reporting tools (e.g. Power BI, Tableau).Familiarity with AI technologies. Desirable: Knowledge of IT security and cloud applications. Fluency in an additional European language ...

develop technical strategies that expand platform usage. The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

board sees. Our current stack is Postgres replicated into Snowflake via Fivetran, dbt for transformation, Omni for modelling and dashboards, Amplitude for product analytics, and Statsig for experimentation, plus a growing set of bespoke dashboarding and reporting instrumentation. Key Responsibilities Own the canonical definitions. Sponsor an agreed definition for each … those questions, then build the reporting that stops them being asked again. Set the governance: access, PII handling, how deleted users are treated in analytics, what can and can't leave an aggregate. Plus the commercial side of the data stack itself, since pipeline spend at our scale is worth ...

shape how marketing infrastructure evolves as Feeld grows. What you will do: Own and evolve Feeld’s marketing technology ecosystem across acquisition, lifecycle, attribution, analytics, and automation platforms Build and maintain scalable integrations, workflows, APIs, and data pipelines that ensure reliable and actionable marketing data Partner closely with Engineering, Product … compliance best practices Improve operational efficiency through automation, process optimization, and scalable documentation Act as a strategic and operational bridge across Marketing, Engineering, Analytics, and external partners to ensure seamless execution and alignment 6+ years of experience in Marketing Operations, Marketing Technology, Growth Operations, or a related technical marketing role ...

London, United Kingdom. In this role, you will oversee and address our partners’ and customers’ technical needs. You will work with Jet Reports, Jet Analytics, BI, Process Runner, new product releases and other products, serving as the primary technical liaison between our organisation and our Partners to support their customers … within EMEA. ESSENTIAL FUNCTIONS Support partners to use, sell and implement Jet Reports, Jet Analytics, Reporting Intelligence, BI, Process Runner and other planning solutions effectively; develop and maintain partner technical readiness including enablement, platform, and product awareness. Collaborate closely with the Director of Solution Engineering on roadmap and strategic planning. ...

directly. About the Role: Grade Level (for internal use): 09 The Team: S&P Global (SPGI) is a leader in credit ratings, benchmarks and analytics for the global capital and commodity markets. Reporting to the Director for Internal Audit, you will be part of a diverse Internal Audit team with … effective remediation. Build and maintain productive working relationships with business unit management, acting as a trusted, objective advisor while maintaining independence. Leverage data analytics, automation, and emerging technologies to enhance audit efficiency, coverage, and insight. Contribute to the continuous improvement of Internal Audit practices by staying current on audit standards ...

maximise the value of data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock … genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose ...

Science to join Raylo and lead our advanced model building. Raylo has built a strong data foundation over the past five years, with robust analytics and data engineering powering commercial decision-making across the business. In this role, you’ll take that foundation to the next level by designing, building … what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify high impact opportunities for machine learning and advanced analytics, Taking these projects end-to-end from idea through to production deployment and monitoring. Redesigning our model building, deployment and monitoring process using agentic architecture ...

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories … change that comes with working at a rapidly growing company. Prior experience working with SaaS solutions in the following domains is preferred: product analytics, digital marketing, A/B testing, business intelligence, customer data platforms, data warehouses/pipelines, or any of our integration partners. By applying for this ...

connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyersDesign and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environmentsAct as a subject matter expert on financial services … exposure to financial services customersDeep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligenceStrong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect ...

Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You'll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows … specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog! LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentGrowth & Analytics ...

Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language Processing (NLP), AI Product Development, Innovation Management, Emerging Technologies, Digital Transformation, Process Optimisation, Rapid Prototyping, Proof of Concept (PoC) Development, Innovation ...

join our Data & Insights Team, initially leading the engineering build of Atlas, AKA's composable customer data platform (CDP). Reporting to the Analytics Engineering Manager and working closely with our Data Scientist, Project Manager & Development Teams you'll own the pipelines, infrastructure and data architecture that turn raw customer … support wider Data & Insights infrastructure beyond Atlas as priorities evolve Work within the Data Engineering team's standards and practices set by the Analytics Engineering Manager, contributing to shared documentation, code quality and orchestration standards across client data pipelines beyond Atlas Minimum Qualifications Degree in Computer Science or a related ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity … technical excellence. Job Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintain data pipelines for analytics, model evaluation, and training (includes versioning, compliance and validation). Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine ...

challenge your own and other's thinking. Skilled in developing strong working relationships with stakeholders across the business and with counterparts across the industry. Analytics experience within the commercial area of the rail industry. Ability to prioritize workloads and work to challenging deadlines. Drive for continuous improvement Expert understanding … Lennon data, and knowledge of rail commercial or operational systems (e.g. MOIRA, ORCATS, Cubic, BT MND) Experience in data analytics including: use of very large datasets using tools such as PowerBI/SQL/Python/R. Proficient in Microsoft Office applications (including expert level Excel skills with experience designing ...

backend services. Collaborate with API, platform, cloud, and security architects. Establish authentication and authorisation standards using enterprise identity platforms. Support integration with CMS, DAM, analytics, personalisation, and search platforms. Security, Risk & Compliance Ensure solutions meet enterprise security, regulatory, privacy, and compliance requirements. Embed secure-by-design principles within frontend architecture. … regulated industry experience. Experience with Adobe Experience Manager (AEM) Headless CMS. Experience delivering enterprise digital transformation programmes. Familiarity with content platforms, personalisation engines, analytics solutions, and search technologies. Experience defining enterprise-wide UI standards and governance models. Success Measures Adoption of architectural standards across delivery teams. Improvement in application performance ...

seeking a talented individual to join our Client Analytics & Technology (CAT) team at Mercer, a Marsh business. This role will be based in London. This is a hybrid role that has a requirement of working at least two days a week in the office. The CAT team builds and runs … internal and client-facing analytics and technology products across Mercer businesses. You will be the hands-on Tech Lead for a small UK-based team working closely with an India engineering pod, owning technical direction, delivery, and day-to-day engineering leadership. The role requires strong domain partnership (risk advisory ...

partner, you will translate business needs into governance and data management requirements, make key design decisions, and ensure the implemented solution supports trusted reporting, analytics and AI capabilities. While our delivery partner will configure and implement capabilities such as Unity Catalogue and Microsoft Purview, you will own the functional design … Develop pragmatic approaches for data privacy, data classification and information management in collaboration with security and privacy teams. Ensure governance capabilities support downstream reporting, analytics and AI use cases, including Databricks Genie. Solution Design & Delivery Act as the product owner for the data management capability, defining requirements and priorities ...