2,351 to 2,375 of 6,493 Analytics Jobs in England

Retirement objectives and comply with strategic and group limitsCollaborating with ALM, Asset Management, Investment Operations, Investment Strategy and Finance to enhance portfolio and market analytics and ensure timely MI for tactical portfolio optimisationApplying a pragmatic and flexible approach to delivering reliable information and portfolio insights within a complex data environmentOperating … quantitative degree or postgraduate qualification (progress towards CFA or equivalent desirable)Working knowledge of developing tools using SQL, Python and ExcelUnderstanding of portfolio analytics, portfolio management concepts and fixed income marketsExperience working with large, complex datasets across multiple sourcesBackground as a front‐office portfolio analyst or experience in a second ...

engineering teams, ensuring alignment with enterprise information data models. Designing information value chains and data product specifications with clear contracts for downstream consumption by analytics, AI, and data consumers. Mapping business capabilities to information domains, creating bounded contexts aligned with Domain-Driven Design principles for manufacturing, commerce, and supply chain. … implementations, or multi-system platform modernizations. Demonstrated ability to create semantic layers and logical models that achieved actual business adoption and self-service analytics usage. Experience establishing master data management patterns and data governance frameworks integrated into architectural design. Excellence in stakeholder communication - explaining data architecture to non-technical audiences ...

forward-looking decision-making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems.Your ImpactAdvanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges.Generative … quantitative field.Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment.Background in forecasting, planning, or analytics applicationsFamiliarity with Anaplan or similar enterprise planning platformsExperience with A/B testing and experimentation frameworks for AI featuresContributions to open-source ML projects ...

regional and research-based healthcare organisations.Data Architecture and Delivery AssuranceLeading or assuring the design of complex data and AI solutions that span data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing … influencing skills, with the ability to operate confidently with C-level and Director-level stakeholders.Broad technology understanding, including modern data platforms, data integration, analytics, AI/ML, data governance and cloud technologies.Highly proficient in at least three mainstream data technologies and aware of wider data technology trends.Experience working across ...

transformation roles. Managing and executing projects efficiently; provide hands-on support to multiple activities, often requiring strong consulting skills (slides writing, effective communication, some analytics, ...) Collaborating and communicating with various teams and individuals, with different levels of seniority in different geographies and with different backgrounds; be able to communicate … community What You'll BringEducation and Experience Bachelor's degree required; advanced degree preferred. 8–10+ years of experience in strategy, transformation, digital, analytics, technology, or related fields. Experience leading complex, cross-functional initiatives in consulting, industry, startups, or other dynamic environments. Familiarity with digital, data, AI, or enterprise transformation ...

regional and research-based healthcare organisations.Data Architecture and Delivery AssuranceLeading or assuring the design of complex data and AI solutions that span data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing … influencing skills, with the ability to operate confidently with C-level and Director-level stakeholders.Broad technology understanding, including modern data platforms, data integration, analytics, AI/ML, data governance and cloud technologies.Highly proficient in at least three mainstream data technologies and aware of wider data technology trends.Experience working across ...

Bank --------------------------------------- JOB DETAILS Role Title: Technology Architect Technology Architect – Databricks with over 12 years of experience in designing and leading large scale data engineering, analytics, and cloud transformation initiatives. The ideal candidate will have deep expertise in Databricks, big data architectures, cloud platforms (Azure), and modern data engineering frameworks. This ...

delivery teams to build, deploy and run data products and ML models at scale.This role is delivery-focused and works closely with data engineering, analytics, data science, information security and suppliers to embed platform standards, automate controls, and continuously improve stability, cost, and time-to-value. The Platform Manager drives … enablement to help teams effectively build and deploy data and AI solutionTo be successful in the role, you will haveProven experience managing data/analytics platforms and/or MLOps capabilities in a complex enterprise environment.Hands-on experience operating Databricks (workspace administration, cluster policies, jobs, Delta Lake, Unity Catalog, access ...

data science and generative AI to improve customer and marketing experiences for clients.Support the development of data platforms, data products, and capabilities that empower analytics and AI teams.Assist senior leaders in shaping elements of the strategic direction for practice’s data science and data engineering ecosystem.Help assess generative AI proposals … skillsets to the wider practice. In this role you will:Define and Deliver Customer-Centric Data StrategiesTranslate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model‐ready datasets.Work with senior architects and data science leaders to help define AI and data strategies ...

strategy. ALM/Law Business Research is a leading, technology‐enabled information services and events company serving the global legal industry with news, data, analytics, and performance insights. The combined business operates globally with a broad portfolio of subscription information products, proprietary data sets, workflow tools, and premium events serving … support development of the corporate and inorganic growth roadmap through market research, target mapping, and analysis of trends across legal information, data/analytics, workflow tools, and events. Build and maintain detailed profiles and financial summaries for priority markets, strategic opportunities, and potential acquisition or partnership targets, including preliminary valuation ...

place where people stay because they feel valued, and find room to grow because theyre challenged. About the role Working closely with the Data Analytics Manager and wider Marketing Team, this role will be responsible for turning audience data and customer intelligence into real-world outcome-driven marketing activations across … ability to interpret audience and performance data. Experience working with marketing platforms (e.g.ads manager), Customer Data Platforms (e.g. Bloomreach) and insight tools (e.g. Google Analytics). Comfortable manipulating and quality-checking datasets for activation, interpreting data to spot trends and identify opportunities Familiar with test-and-learn frameworks (A/ ...

expectations. As a Senior Software Engineer (SDET), you’ll be the transformational force that revolutionizes our testing approach. You’ll leverage AI and advanced analytics to identify quality gaps, architect intelligent testing solutions, and establish new standards for test effectiveness that go beyond simple coverage metrics. What … that significantly improved test effectiveness and reduced production issues AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, and predictive analytics for quality assurance Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimization for quality gates Advanced test analysis skills: Experience with ...

Exciting opportunity to join a fast-growing Internal Audit function facing to the Data & Analytics (D&A) business at the prestigious London Stock Exchange Group (LSEG).LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with … audits that are technology, application, data and operational controls focused, delivering assurance over the design and effectiveness of application control environments across the Data & Analytics business.Act as the application audit domain expert within audit teams, providing insight on application architecture, business logic, automated processing, data flows, access management, configuration, change ...

data)Experience building a channel or function from scratchFamiliarity with credit/lending offers, pre-approval and risk-based targetingBackground hiring and developing an analytics or marketing teamYou’re a good fit if you’re:Operator and analyst in one: you can run the sends and build the model that … 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 ...

/or implementation).Commercial content experience (for example, branded content or social media monetisation)Experience of running social media channels or websitesPerformance and analytics monitoringContent, marketing and social media (major platforms, across the full creative suite).Excellent communication skills, both written and verbal including strong presentation skills.Highly numerate with experience … planning, audience segmentation, profiling and content targetingExperience leading parts, or all, of an organisation’s digital operationsDigital strategy experience (setting and delivery)Experience using analytics platforms (eg Google, Facebook, Twitter)Knowledge of Photoshop Good understanding of the techniques of SEO relevant to social media platformsA global perspective on content trends ...

pipelines and feature engineering Substantial experience with joining, analysing, manipulating commercial and regulatory data for visualisation (Tableau) and apps Demonstrable experience in utilising data analytics tools and libraries (Pandas, PySpark, etc) Understanding of financial markets Experience in applying machine learning techniques to market data Experienced in developing user-friendly analytical ...

ensure that project deliverables remain on track & continue to meet business requirements• Participate and act as an internal advocate of data insights and analytics to guide the business’ strategic priorities and decision making.• Partner closely with global stakeholders to execute the roadmap and drive product initiatives, while meeting critical deadlines … budget constraints.• Integrate customer feedback, data analytics, product metrics, user experience research, market analysis, and company goals to drive prioritization of product initiatives• Demonstrate strong stakeholder management skills, setting and continuously managing expectations through effective written and oral communication• Manage and prioritize the feature backlog, with a pragmatic and astute ...

clients and their users.Analytics, Performance & ComplianceDefine and monitor KPIs and success metrics to track performance, user engagement, and feature adoption.Work with data and analytics teams to derive insights and optimise the user experience through continuous improvements.Ensure the products meet compliance, security, and accessibility standards, collaborating with legal and risk teams … launched 0-1 products, as well as feature development in existing products.Has worked in AI products with an ‘AI first’ mentality.Experience working with product analytics tools, user research, A/B testing, and performance tracking to drive product decisions.Ability to balance user needs, commercial goals, and technical feasibility to prioritise ...

aligned to global and franchise priorities in collaboration with key stakeholders. Lead the ongoing evolution of the Campaign Planning and Automation roadmap, leveraging campaign analytics and user feedback to inform prioritization and trade-off decisions Translate business needs into capability solutions with measurable success metrics that drive impact across franchises … Strong understanding of marketing automation and campaign execution platforms (e.g. SFMC) and campaign planning workflows. Strong understanding of omnichannel data, including media and campaign analytics with the ability to integrate data into decision-making frameworks and explain insights clearly to diverse stakeholders Familiarity with marketing CRM platforms or comparable platforms. ...

understanding and/or configuring Corporate Performance Management (CPM) systems (e.g., OneStream, Adaptive Insights, Anaplan, Planful, etc.).Deep understanding of financial insights and analytics and experience with predictive analytics and AI.Experience leading financial close/consolidation processes, process improvement reviews, and M&A transactions (integrations, carve-out, best practice advisory ...

into a better-rounded professional. Basic qualifications- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in technical engineering- Speak, write, and read fluently in English- Background … Code etc.- In-depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, Analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc.Amazon is an equal ...

from engineering teams, ensuring alignment with enterprise information data models.Designing information value chains and data product specifications with clear contracts for downstream consumption by analytics, AI, and data consumers.Mapping business capabilities to information domains, creating bounded contexts aligned with Domain-Driven Design principles for manufacturing, commerce, and supply chain.Providing architectural … migrations, o9 implementations, or multi-system platform modernizations.Demonstrated ability to create semantic layers and logical models that achieved actual business adoption and self-service analytics usage.Experience establishing master data management patterns and data governance frameworks integrated into architectural design.Excellence in stakeholder communication - explaining data architecture to non-technical audiences while ...

support the charities and causes that matter to youAwards to recognize key service milestonesAbout the businessAs 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 ...

Design and maintain scalable data pipelines across diverse sources. Automate and optimise workflows using tools like Airflow, dbt, and Spark. Support data modelling for analytics, dashboards, and A/B testing. Collaborate with cross-functional teams to deliver data-driven insights. Work with cloud platforms (GCP preferred) and tools like ...

with technology outcomes.Enterprise Architecture & IntegrationYou'll have experience designing enterprise solutions that integrate Oracle SCM with wider business platforms, including Procurement, Finance, HCM, EPM, Analytics, and Reporting.You'll also have knowledge of:Oracle Integration Cloud (OIC)APIs and Web ServicesOTBIBI PublisherOracle Analytics Cloud (OAC)Fusion Data Intelligence (FDI)Executive Stakeholder ...