4,151 to 4,175 of 11,762 Analytics Jobs

capabilities to the customer's specific data challenges and business objectivesDesign and execute proof of concept engagements covering financial services use cases including risk analytics, regulatory data platforms, fraud detection, customer intelligence, and AI/ML workloadsDevelop working knowledge of the customer's existing data architecture, cloud environment, and technology … consulting in enterprise B2B technology, with exposure to financial services organisationsSolid understanding of financial services data use cases including risk management, regulatory reporting, fraud analytics, or customer data platformsHands-on experience with cloud data platforms and the ability to build and deliver compelling live demonstrations of complex data solutionsProficiency ...

teams to scale effectively. Own operational performance management, establishing meaningful metrics, reporting, and insights to drive accountability and decision making. Partner with CX Analytics to build dashboards and reporting that provide visibility into customer outcomes, operational health, and business impact. Lead Workforce Management, Quality Assurance, CX Systems Operations, ensuring alignment … fast-paced, evolving environment. Experience working within financial services, payments, or other highly regulated industries is preferred. Experience with CX platforms such as Zendesk, analytics and reporting tools such as Tableau, Quality Assurance, and Workforce Management practices is preferred. B2B FinTech experience is preferred. #J-18808-Ljbffr ...

Centers in the efficient use of approved platforms, driving not just the adoption rate but also the effective use of the platforms. Uses data analytics to examine user behavior patterns, help desk ticket trends, and technology adoption rates across departments to identify gaps and opportunities for improvement Facilitates employee adoption … Adventist Church. Must maintain a regular and reliable work schedule. Other duties as assigned. EDUCATION AND EXPERIENCE Bachelor’s (BA/BS) degree in Analytics or related field required. Relevant successful work experience and/or certifications may be considered in lieu of academic requirements. Four or more years ...

maintain clear production engineering roadmaps aligned to business strategy.2. AI Adoption & Digital TransformationChampion the responsible adoption of Digitisation utilising AI where appropriate and data analytics within Production Engineering and Test.Identify and implement AI-enabled solutions to enhance:Predictive maintenanceProcess optimisationAutomated inspection and testYield analysisCapacity modelling and planningPromote data literacy within … manufacturing environments.Experience in high-reliability microelectronics product design and manufacturing.Proven experience in materials, process design, optimisation, and industrialisation.Experience implementing lean manufacturing principles.Exposure to data analytics or digital manufacturing technologies.Desirable:Experience with MCM, Thick Film Hybrid, and PCBA technologies.Experience implementing AI or advanced analytics within manufacturing.Capital equipment specification and commissioning experience.CompetenciesStrong ...

Establish enterprise-wide data standards, governance and architectural principles Support data platforms, metadata, data quality and data catalogue initiatives Ensure data architecture supports AI, analytics and knowledge graph capabilities Work with senior business, technical and military stakeholders Required Experience: Strong knowledge of data modelling, governance and metadata Experience with Sparx ...

Banking Markets - Software Engineer - Equities Data Platform Engineering - London - Vice President Job Description The Equities Data Platform team is core to delivering real‐time analytics and handling critical fiduciary functions for Goldman Sachs' Electronic Trading business across Equities and Listed Options. If you're excited by the challenge of engineering … queries across huge datasets, at speed and at scale. Design and build a cutting‐edge, AI‐powered UI/agent framework that delivers intelligent analytics and insights over our data – empowering users to interrogate and unlock value from large‐scale datasets. Partner closely with business stakeholders, client applications, and Regulatory ...

maintain clear production engineering roadmaps aligned to business strategy.2. AI Adoption & Digital TransformationChampion the responsible adoption of Digitisation utilising AI where appropriate and data analytics within Production Engineering and Test. Identify and implement AI-enabled solutions to enhance: Predictive maintenanceProcess optimisationAutomated inspection and testYield analysisCapacity modelling and planningPromote data literacy … high-reliability microelectronics product design and manufacturing. Proven experience in materials, process design, optimisation, and industrialisation. Experience implementing lean manufacturing principles. Exposure to data analytics or digital manufacturing technologies. Desirable: Experience with MCM, Thick Film Hybrid, and PCBA technologies. Experience implementing AI or advanced analytics within manufacturing. Capital equipment specification ...

e.g. dbt, spark, containers, devops tooling, orchestration tools, git, etc.)Solution engineering/solution architect experience in a Saas environment or relevant industry experience (analytics, data science, data engineering etc)Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demosUnderstanding … experience with data architecture, data analytics and cloud technologyHands on experience with SQLAbility to solve customer specific business problems and apply Snowflake's solutionsCustomer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbalPreferred (but not required) to have:· Experience ...

acceptance criteria, and clear backlog prioritization. Collaborate with engineering, data science, andsolutions teamsto deliver high-quality TM features (real-time and batch pipelines,detection analytics,alert scoring,alert/case creation, feedback loops). Drive backlog grooming, sprint planning, and manage priorities/dependencies across multipleengineering pods. Participate in design … model/rulethreshold tuning,monitoringof false positives/recalland improving true positivedetection. Ensure explainability, reason codes, lineage, and model transparencyacross TM solution, including detection analytics andalert/risk scoring modules. Work withengineeringteamsand customersto define test cases, regressiontestsuites, and oversee UAT/release validation. Monitor metrics (alert volumes, false positives, investigator ...

leaders. Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).Demonstrated experience leading … ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. Exposure to AI-native and agent-driven applications that depend ...

Support the development and maintenance of frameworks to identify and monitor casualty, cyber catastrophe and clash exposures across relevant lines of business.* Perform portfolio analytics to assess accumulations by industry, geography, policy structure and other key risk drivers, including cyber aggregation and systemic exposures.* Develop and run casualty and cyber … actionable insight to underwriting and Exposure Management, particularly in relation to casualty–cyber clash exposures and portfolio risk concentrations.* Enhance casualty and cyber catastrophe analytics and methodologies, including improvements to data, tools and scenario design.* Support the integration of casualty and cyber catastrophe risk into capital modelling, ensuring appropriate representation ...

that enable CX teams to scale effectively.Own operational performance management, establishing meaningful metrics, reporting, and insights to drive accountability and decision making.Partner with CX Analytics to build dashboards and reporting that provide visibility into customer outcomes, operational health, and business impact.Lead Workforce Management, Quality Assurance, CX Systems Operations, ensuring alignment … fast-paced, evolving environment.Experience working within financial services, payments, or other highly regulated industries is preferred.Experience with CX platforms such as Zendesk, analytics and reporting tools such as Tableau, Quality Assurance, and Workforce Management practices is preferred.B2B FinTech experience is preferred.LocationUK: Manchester (Landmark, St Peter's Square, 1 Oxford ...

meet business and regulatory requirements. Partner with relationship managers and customer success teams to drive adoption, engagement, and retention for 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 … 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 ...

leaders. Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).Demonstrated experience leading … ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. Exposure to AI-native and agent-driven applications that depend ...

master data management solutions, regulatory reporting systems, and operational platforms.* Provides strategic oversight of enterprise data architecture, including data acquisition, transformation, governance, lineage, quality, analytics, reporting, and AI enablement capabilities leveraging technologies such as Snowflake, Databricks, cloud data platforms, real-time streaming technologies, and enterprise data ecosystems.* Establishes architecture standards … engineering, and PCF/Kubernetes environments.Enterprise data architecture utilizing Snowflake, Databricks, data lakes, data warehouses, master data management, metadata management, AI enablement, and advanced analytics platforms.Enterprise resiliency, disaster recovery, active-active architectures, high availability, blue-green deployments, observability, and operational readiness frameworks.Modern DevSecOps and software engineering disciplines including CI/ ...

interns will work within the Quant or Applied AI team, applying frontier AI techniques to research and trading problems, and contributing to the central analytics platform. Projects can include developing the core analytics library (Fixed Income, FX, Credit, Equity etc), integrating AI into trading tools, working with PMs to develop ...

play a central role in transforming complex media data into actionable intelligence for our enterprise clients. Your expertise in social listening, media analytics, and strategic storytelling will shape bespoke reports that inform brand, communication, and business decisions at the highest level.You’ll collaborate with internal teams and client stakeholders … deliverables remain best-in-class.What You'll Bring:Bachelor's degree in a relevant field such as Social Sciences, Communications, Marketing, Media Studies, Data Analytics, or related fields emphasizing research and analysis. +2 years of experience in insights, research, or analytics, ideally within media, communications, marketing, or PR. Exceptional written ...

Platform Engineering - London - Vice President location_on London, Greater London, England, United Kingdom The Equities Data Platform team is core to delivering real-time analytics and handling critical fiduciary functions for Goldman Sachs' Electronic Trading business across Equities and Listed Options. If you're excited by the challenge of engineering … queries across huge datasets, at speed and at scale. Design and build a cutting-edge, AI-powered UI/agent framework that delivers intelligent analytics and insights over our data – empowering users to interrogate and unlock value from large-scale datasets. Partner closely with business stakeholders, client applications, and Regulatory ...

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. How will … successful in this role at Roku? AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, agentic AI systems, and predictive analytics for quality assurance Experience with autonomous testing agents capable of independently discovering, executing, and adapting test strategies. 5+ years of hands‐on experience with test ...

uncover challenges and identify opportunities.Help organisations understand how AI can improve productivity, decision-making, and employee experience.Identify and assess opportunities in AI, automation, predictive analytics, and emerging technologies.Create high-quality deliverables, including strategies, roadmaps, and business cases.Translate complex technical concepts into clear, actionable insights for clients.Contribute to sales activities, proposals … digital transformation, with knowledge in areas such as:Generative AI and large language models.AI-enabled workplace tools like Microsoft Copilot.Intelligent automation and workflow transformation.Predictive analytics and data-led decision-making.AI governance and responsible adoption.The BenefitsAt Gallagher, we offer a supportive and inclusive workplace, flexible working arrangements, and opportunities for personal ...

Software Engineer (Structured Data) Location London Employment Type Full time Location Type Hybrid Department Analytics & Data Compensation: Competitive (Financial Services) About TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single … Quant teams to understand complex data requirements and deliver robust platform capabilities. Designing, building and maintaining services that support large-scale data processing and analytics workloads. Improving and maintaining sophisticated CI/CD pipelines to enable reliable and efficient software delivery. Contributing to the architecture and evolution of cloud-native ...

Launch your data career with an exciting Data Engineer Apprenticeship! Are you passionate about technology, analytics and solving complex problems? We are looking for a motivated and enthusiastic Data Engineer Apprentice to join our growing team. This is an exciting opportunity to gain real-world experience in data engineering, analytics ...

strategy, aligned to business priorities including growth, customer retention, operational efficiency and productivity.Leading a multidisciplinary team across data science, machine learning engineering, data engineering, analytics and AI programme delivery.Building and prioritising a portfolio of high-impact AI and data initiatives across the business.Owning the end-to-end lifecycle … engineering or data platform teams.A strong track record of delivering data and AI initiatives that have created clear business impact.Strong understanding of data platforms, analytics, machine learning and AI technologies.Experience operating in complex, matrixed organisations.The ability to define strategy while staying close enough to execution to challenge, guide and support ...

least 6 months long internship period. The Role Support the build-out and maintenance of core data infrastructure, working directly with our data and analytics stack to keep information clean, structured, and accessible. Partner with data, product, and investment teams to translate business questions into data-driven answers, working fast … communicate findings clearly to both technical and non-technical stakeholders. What We're Looking For Background & Education: Completed Bachelor’s degree in Data Science, Analytics, Computer Science, Engineering, or a related field, with strong interest and hands-on experience in data. Candidates from prestigious universities and/or with prior ...

aligned to business priorities including growth, customer retention, operational efficiency and productivity. Leading a multidisciplinary team across data science, machine learning engineering, data engineering, analytics and AI programme delivery. Building and prioritising a portfolio of high-impact AI and data initiatives across the business. Owning the end-to-end lifecycle … data platform teams. A strong track record of delivering data and AI initiatives that have created clear business impact. Strong understanding of data platforms, analytics, machine learning and AI technologies. Experience operating in complex, matrixed organisations. The ability to define strategy while staying close enough to execution to challenge, guide ...