826 to 850 of 12,683 Permanent Analytics Jobs

leanne.thomas@hays.comShape the Future with AI & DataWe are looking for talented AI/Data Engineers to join a growing technology consultancy delivering innovative data, analytics and AI solutions for enterprise clients. This is an exciting opportunity to work with modern cloud, data and AI technologies, helping organisations unlock value from … deliver real business impact. As one of our AI/Data Engineers, you will:Design, build and maintain scalable data pipelines and data platformsDevelop analytics and AI-enabled solutions that support business decision-makingCreate and implement machine learning and generative AI solutionsIntegrate data from multiple sources while ensuring data quality ...

Full-Time Analyst in the Data & AI Program at JPMorganChase, you will drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in collaborative teams, you will design scalable … Glasgow About Us At JPMorganChase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real-world impact across global markets. Our teams work at the intersection of technology ...

Elevate your career by steering multi-faceted technology programs, integrating innovative solutions, and driving impact across global operations.The Chief Data & Analytics Office (CDAO) at JPMorganChase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the firm’s data … Lakehouse architectures, and distributed computing frameworksExperience with enterprise-scale implementations of cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutionsExperience navigating ...

office basedMon-Fri 37.5 hours per weekAt Biffa, we're transforming how data is used across our business, moving beyond traditional reporting towards advanced analytics, automation, and AI-driven decision making. As a Data Engineer, you'll play a key role in designing and building the data platforms, pipelines … you.Your core responsibilitiesDesign, build and maintain scalable data pipelines and data integration solutions.Develop and support data ingestion, transformation and storage processes. Work with business, analytics and application teams to deliver trusted data products.Ensure data is reliable, secure, performant and available for reporting and analytics.Support data quality, monitoring, troubleshooting and issue ...

Data VisualizationProduct Roadmap DevelopmentUser Research & Product DiscoveryTest Coordination & User Acceptance TestingAnalytics & ReportingOperational Decision-Support PlatformsDigital Twin PlatformsEngineering Data PlatformsPreferred QualificationsExperience with data visualization and analytics tools such as Power BI.Understanding of API-based products, data integration, and cloud-based data platforms. Experience working with engineering, asset, or operational data. Familiarity … with data governance, metadata management, and data quality frameworks. Experience working with cross-functional teams including: CustomersArchitectsEngineersDevelopersTestersExposure to data-heavy products, analytics platforms, operational decision-support systems, or digital twin solutions. Domain Experience (Preferred)Energy & UtilitiesElectricity Transmission NetworksAsset ManagementNetwork Design & PlanningOperational Data PlatformsInfrastructure EngineeringKey Success MetricsSuccessful delivery of data products ...

industry's leading architects, engineers, and AI specialists, you'll help clients establish modern Data Intelligence platforms that become the foundation for advanced analytics, machine learning, and next-generation AI capabilities.Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients become … delivery planning, resourcing, dependency management, financial oversight, commercial management, risk and issue management, and stakeholder reporting.Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads.Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog ...

Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings … Multi-skilled experience of one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Cross and multi-platform experience. A proactive awareness of industry standards, regulations, and developments. Experience of working with ...

data into actionable insights that improve reliability, risk/control health, and delivery efficiency. You will own the reliability and performance of reporting and analytics pipelines, define and govern SLIs/SLOs and error budgets, and automate data products (dashboards, scheduled reporting, and near-real-time views) that serve engineering … alignment to resiliency and security expectations.Required qualifications, capabilities, and skillsFormal training or certification on data engineering concepts and advanced applied experience in data analytics/BI/operations analytics.Strong SQL skills (CTEs, window functions, performance-aware querying).Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support ...

Solutioning innovative ways to organise AI and automation processes, overseeing data/software development Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms. Own the roadmap for trusted data foundations across the group, covering master/reference data, data quality, governance, cataloguing, traceability … solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate, advise on new solutions that can improve the effectiveness of organisation. Take a leading role in the growth ...

expectation and using what we learn to drive faster, better decision-making for the business at large. Our work spans the full stack of analytics: from the warehouse models that make metrics trustworthy, to the monitoring systems that catch problems early, to the reports and dashboards that make performance visible … into clear, simple, actionable recommendations for both technical and non-technical audiences that shape roadmaps and decisions. Raise the bar. Contribute to the broader Analytics community, improve shared approaches and best practices, and help build data literacy across the business. What You'll Need to Thrive Our ideal candidate brings ...

data into actionable insights that improve reliability, risk/control health, and delivery efficiency. You will own the reliability and performance of reporting and analytics pipelines, define and govern SLIs/SLOs and error budgets, and automate data products (dashboards, scheduled reporting, and near-real-time views) that serve engineering … resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and advanced applied experience in data analytics/BI/operations analytics. Strong SQL skills (CTEs, window functions, performance-aware querying). Demonstrated experience using enterprise-authorized AI capabilities within the work environment ...

Data Scientists and Data Engineers who are passionate about bringing value and knowledge from data. We are all about unlocking insights from data through analytics and making that insight applicable in 1:1 data-driven communication and CRM. Your work will always be firmly anchored in data in a cross … addition, you have: Technical skills A minimum of 5 years of experience in a consultant/business liaison role related to data, BI, analytics or reporting solutions. Can independently design, build, and optimize modern analytics solutions that are scalable, maintainable, and ready for real-world production use. Write, debug ...

Description As a Full-Time Analyst in the Data & AI Program at JPMorganChase, you will drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in collaborative teams … Glasgow About Us At JPMorganChase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real‐world impact across global markets. Our teams work at the intersection of technology ...

industry's leading architects, engineers, and AI specialists, you'll help clients establish modern Data Intelligence platforms that become the foundation for advanced analytics, machine learning, and next-generation AI capabilities. Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients … will: Lead the architecture and technical strategy for large-scale Databricks Data & AI transformation programmes. Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity ...

rest/in-transit encryption, structured logging, automated audit trails, and strict access controls (RBAC, ABAC, and row/column-level security).Future-Proof Analytics: Structure data foundations to readily support future analytical workloads, advanced reporting, and data science use cases.Required Technical SkillsCloud Platform & Fabric: 3+ years of dedicated hands … SparkSQL) and Python (PySpark).Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview.Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud formats.Preferred Qualifications ...

impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation and evidence-based decision-making across the organisation.This is an opportunity to influence strategic decisions impacting millions … practices across one of the world's leading entertainment companies.What You'll Be Doing:Develop innovative measurement methodologies across experimentation, causal inference and advanced analytics that improve the quality, reliability and scalability of business decision-making across PlayStation.Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal ...

complex and diverse datasets. Working alongside data scientists, software engineers, architects and consultants, you’ll create scalable cloud-native data solutions that support advanced analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you’ll influence architecture, engineering approaches … Building scalable batch and streaming data solutions Creating data lakes and cloud-native data architectures Ingesting, transforming and integrating data from multiple sources Supporting analytics, AI and machine learning workloads Implementing DevSecOps and Infrastructure as Code practices Optimising performance, reliability and scalability across data services Working closely with clients ...

trusted advisor to CxOs.You will work closely with client technology leadership, business stakeholders, delivery teams, and partners to drive transformation across data platforms, advanced analytics, machine learning, and AI‐enabled services.Your responsibilities: Define and own enterprise AI Data architecture vision and roadmap, aligned to business strategy and regulatory obligations. Design … scalable, secure, and resilient data platforms, including cloud, hybrid, and on‐premise architectures. Lead architecture for advanced analytics, machine learning, GenAI, and MLOps, ensuring production‐grade robustness. Establish AI governance, data management, and responsible AI frameworks, including security, privacy, explainability, and model risk controls. Translate business outcomes into architecture patterns ...

OpportunityJoin a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.At Goldman Sachs, engineering teams … with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.Role SummaryAs a Data Engineer ...

Full-Time Analyst in the Data & AI Program at JPMorganChase, you will drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in collaborative teams, you will design scalable … join: LondonGlasgowAbout UsAt JPMorganChase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data, analytics, and artificial intelligence to drive better decisions, power products, and deliver real-world impact across global markets.Our teams work at the intersection of technology and business ...

/in-transit encryption, structured logging, automated audit trails, and strict access controls (RBAC, ABAC, and row/column-level security). Future-Proof Analytics: Structure data foundations to readily support future analytical workloads, advanced reporting, and data science use cases. Required Technical Skills Cloud Platform & Fabric: 3+ years … SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview. Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud ...

pipelines on Cloud projects. You are encouraged to devise innovative architectural solutions to help our clients address their biggest data challenges, including developing modern analytics platforms.In your role, you will have responsibility for architectural integrity, technical strategy, and client stakeholder engagement, delivering solutions for our clients using agile methodologies. … emerging open-source and proprietary data technologies, assessing their architectural fit, strategic value, and potential impact.Drive the architectural vision for our market-leading analytics and cognitive offerings, contribute to technical solutioning in proposals, and significantly shape the growth of our Strategy, Governance & Architecture community.Provide architectural oversight, technical and engineering governance ...

measurable business value.WHAT YOU'LL BE DOING:AI & Machine Learning SolutionsDesign, build and deploy machine learning models to solve operational and business challenges.Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience.Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic workflows.Evaluate … making.WHAT YOU'LL BRING:Essential ExperienceDemonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment.Strong experience applying statistical modelling, predictive analytics and experimentation techniques.Experience working with structured and unstructured data at scale.Proven ability to translate business problems into measurable analytical outcomes.Experience taking models from development into ...

Enablement is a senior leadership role responsible for the engineering and enablement functions that underpin Security Operations. This includes ownership of Data Engineering, Data Analytics, and SIEM/SOAR engineering capabilities, ensuring that platforms, data pipelines, and automation solutions effectively support detection and response outcomes. This role manages a global … align engineering delivery with broader strategic objectives.What you'll need to succeedOwn and lead the Security Operations Enablement function, covering Data Engineering, Data Analytics, and SIEM/SOAR engineeringDefine and deliver the strategic roadmap for Security Operations platforms and capabilities, ensuring alignment with organizational cyber defense prioritiesManage and develop ...

productively while validating and owning everything it produces. Nice to have, but not essential Experience working closely with Data Engineering, Data Architecture or analytics teams. Practical understanding of data modelling, data quality, lineage, data contracts or transformation pipelines. Experience building reliable ingestion or integration workflows, event-driven services or messaging … your communication. Application and data integrations have clear ownership, interfaces and failure behaviour. Data-dependent features work coherently from source system through to analytics and customer experience. The tools and ways of working C# and .NET for services, APIs and application development. Strong SQL and relational data stores, with ...