351 to 375 of 6,387 Analytics Jobs in London

Role Data Management and Analytics-Data Ops/Data Analyst Experience (In Years) 3-6 Job Location london Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. … Summary of the role: EXL is looking for a Data Analyst with a passion for sports who will play a key role in providing analytics support to a client within our Sports, Media and Entertainment practice. Based in London, the role sits within the International Fan Data & Analytics team, supporting ...

experience building data pipelines in a professional setting (e.g., internship) is a plusAbility to write clean, maintainable, scalable, and robust code in PythonFamiliarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP)Basic understanding or exposure to containerization technologies … DOAs a Data Engineer I, you will design and maintain scalable data pipelines, manage secure data environments, and prepare data for advanced analytics while collaborating with cross-functional teams and clients. You'll tackle real-world challenges, contribute to innovative AI solutions, and grow as a technologist by working alongside ...

where you work, with a strong emphasis on collaboration, support, and continuous learning. Role Requirements: Do you have a passion for enterprise data analytics solution design, team leadership and a track record of driving strategic change? Maybe you already have experience in shaping technology landscapes or are eager to enhance … skills and experience: Experience in IT architecture, including applying architectural principles, standards and reference patterns to the to the design of modern data analytics platforms and AI solutions. Strong understanding of the data, analytics and AI technology landscape, including the ability to assess existing estates and develop roadmaps focused ...

BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products – curated, well‐documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores … forecasting Evaluate and integrate AI‐assisted data tooling (AI‐powered cataloguing, natural language querying, automated data quality) where it accelerates productivity Partner with the Analytics Engineering team to establish dbt modelling standards, testing frameworks, and documentation practices Work hands‐on across multiple product teams as a data authority, balancing strategic ...

layer behind how Vantage measures, compares, and improves its global data center product platform. This is a hands‐on, high-leverage product data and analytics role for a skilled analyst who wants to turn complex cost, schedule, and project data into the trusted decision layer for Vantage products. It combines … advanced data management, analytics, business judgement, and industry benchmarks to change the way Vantage builds infrastructure. What You Will Own You will shape the performance data model for Vantage’s global infrastructure products and maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data ...

data layer behind how Vantage measures, compares, and improves its global data center product platform.This is a hands-on, high-leverage product data and analytics role for a skilled analyst who wants to turn complex cost, schedule, and project data into the trusted decision layer for Vantage products. It combines … advanced data management, analytics, business judgement, and industry benchmarks to change the way Vantage builds infrastructure.## **What You Will Own**You will shape the performance data model for Vantage’s global infrastructure products and maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data ...

range of technical professionals to reach a desired outcome, including designing and delivering technical solutions. Key Skills/Experience: Extensive experience of Data Analytics and Data Science with the ability to use BI tools like Power BI, Tableau etc. Extensive knowledge of Performance Analytics and tooling such as Google Analytics ...

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 ...

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 ...

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 ...

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 ...

/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 ...

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 ...

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 ...

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 ...

quality. Required Qualifications, Capabilities, And Skills 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. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

across one of ABM’s major client accounts in London and across the UK. The ideal candidate will bring strong Power BI and data analytics capability, alongside experience leading technology pilots, change initiatives and operational improvement projects within facilities management, workplace services or cleaning operations. Main duties Design, develop … tools and best practice Maintain clear documentation for reports, dashboards and related solutions What we’re looking for Experience in business intelligence or data analytics, with strong Power BI capability Proficiency in Power BI, including DAX and Power Query Experience with SQL, relational databases and data modelling Knowledge of Microsoft ...

sound architecture decisions. Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake) and delivering through modern … capability. Lead the forward‐engineering central team and its hiring, and capability development. Platform partnership. Establish the rent‐not‐build partnership with the Data & Analytics organisation and the shared‐service model that serves Risk and Compliance. Delivery. Deliver priority data products and automation. Operating disciplines. Own the data‐product operating ...

allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling … ReactJS, focusing on UX/UI best practices. Integration & Automation: Architect and maintain integrations with external APIs such as AWS, Stripe, Zendesk, Twilio, Google Analytics, Google Ads, HMRC, etc... Code Quality & Reviews: Enforce code quality through rigorous reviews, automated testing, and CI/CD processes. Project Management: Collaborate with cross ...

/or data analysis. Ability to translate data into actionable insights and recommendations. Strong quantitative analysis skills, with proficiency in tools such as SQL, analytics platforms, and Excel – and coding skills in python (preferred) or R. Experience developing and tracking metrics for digital service performance. Strong data visualisation skills, with … audiences. Proven ability to work independently and manage priorities in a fast-paced environment. Commitment to continuous learning and professional development. Experience analysing Google Analytics (GA4) data. Desirable Qualification(s) in data analysis or equivalent. Familiarity with visualisation tools such as Looker, Tableau and/or Power BI. Experience working ...

partnering with engineering leads and other stakeholders, you will enable teams to access high-quality, reliable and governed data. You will foster advanced analytics, AI and data product development. Your role will drive data ownership, continuous improvement in data infrastructure and governance, ensuring high standards of data quality, governance … product performance to stakeholders, highlighting successes and areas for improvement. Data-Driven Decision Making: Use data to inform product decisions, leveraging customer insights, analytics and experimentation to validate assumptions and prioritize the right features. Collaboration with Engineering Leads Strategic Alignment: Partner with engineering leads to ensure product strategies are technically ...

influencing how data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt ...

influencing how data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt ...