451 to 475 of 7,687 Analytics Jobs in London

regulatory requirements. This is a hands-on, build-focused role. The postholder will play a key role in system enhancements, process automation, reporting and analytics, data governance, testing and end-user support, helping to drive continuous improvement in HR service delivery. Main responsibilities HR Systems Management Act as a subject … validation and reconciliation controls. Support compliance with GDPR and internal data governance requirements. Establish and monitor HR data quality metrics and remediation plans. Reporting & Analytics Build custom, matrix and composite reports and calculated fields. Produce regular and ad hoc reports for HR, Reward, Payroll, Finance and senior leadership teams. Develop ...

Data Engineering Lead you will be responsible for developing and enhancing the organisation's data capability while acting as the internal expert across engineering, analytics, reporting, and automation. Specifically, you can expect to be involved in the following: Building, maintaining, and improving data pipelines and integrations Managing and developing … dashboarding tools, particularly Power BI Experience working with customer, marketing, revenue, or operational data Understanding of subscription, recurring revenue, or customer lifecycle analytics Ability to work independently and navigate ambiguity in a growing business Strong stakeholder management and communication skills BENEFITS The successful Data Engineering Lead will receive the following ...

from 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 … findings 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 ThriveOur ideal candidate brings strong expertise ...

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 … 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

customers and employees up for success. Bachelor's degree or equivalent experience. Experience within financial services, supporting Treasury, Regulatory Reporting, Risk Management, Finance, Data Analytics, or Change Management functions. Experience supporting regulatory change initiatives, audit engagements, regulatory interactions, or complex data-driven processes. Strong analytical and problem-solving skills with … such as JIRA and Confluence. Experience using SQL, Python, Snowflake, or cloud-based data platforms. Interest in applying AI and automation to improve reporting, analytics, and business processes. Experience with Tableau, Alteryx, or similar analytical tools. As a Senior Associate in Corporate Treasury Middle Office (CTMO) International, you will lead ...

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 ...

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 … 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 ...

building and maintaining a robust digital data infrastructure. This position supports data users across the business, ensuring high-quality data extraction, reporting, and analytics capabilities. Working closely with the IT Manager and various business units, you will help strengthen compliance and regulatory risk management through effective management information (MI) reporting … Coming from an IT support function is a bonus Data Analysis and Management Maintain and develop SSIS packages Perform ad-hoc data extraction and analytics based on requirements from business Develop data visualisation for business Work with business to enhance the data available to the data warehouse Assist in testing ...

controls, and data quality.Required Qualifications, Capabilities, and SkillsBachelor's degree or equivalent experience.Experience within financial services, supporting Treasury, Regulatory Reporting, Risk Management, Finance, Data Analytics, or Change Management functions.Experience supporting regulatory change initiatives, audit engagements, regulatory interactions, or complex data-driven processes.Strong analytical and problem-solving skills with the ability … tools such as JIRA and Confluence.Experience using SQL, Python, Snowflake, or cloud-based data platforms.Interest in applying AI and automation to improve reporting, analytics, and business processes.Experience with Tableau, Alteryx, or similar analytical tools.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules. Key Responsibilities: The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform. Support for the live … automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric ...