1,976 to 2,000 of 9,638 Permanent Analytics Jobs

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity … technical excellence. Job Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintain data pipelines for analytics, model evaluation, and training (includes versioning, compliance and validation). Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine ...

backend services. Collaborate with API, platform, cloud, and security architects. Establish authentication and authorisation standards using enterprise identity platforms. Support integration with CMS, DAM, analytics, personalisation, and search platforms. Security, Risk & Compliance Ensure solutions meet enterprise security, regulatory, privacy, and compliance requirements. Embed secure‐by‐design principles within frontend architecture. … regulated industry experience. Experience with Adobe Experience Manager (AEM) Headless CMS. Experience delivering enterprise digital transformation programmes. Familiarity with content platforms, personalisation engines, analytics solutions, and search technologies. Experience defining enterprise‐wide UI standards and governance models. Success Measures Adoption of architectural standards across delivery teams. Improvement in application performance ...

Seekers: EEO Know Your Rights. About LexisNexis At LexisNexis® Risk Solutions, our businesses span multiple industries providing customers with innovative technologies, information-based analytics, decisioning tools and data management services that provide market-specific solutions. Approximately 11,100 employees in offices throughout the world support our brands by serving customers … more than 190 countries and territories. LexisNexis® Risk Solutions is part of RELX, a global provider of information and analytics for professional and business customers across industries. For more information, please visit www.risk.lexisnexis.com and www.relx.com. #J-18808-Ljbffr ...

challenge your own and other's thinking. Skilled in developing strong working relationships with stakeholders across the business and with counterparts across the industry. Analytics experience within the commercial area of the rail industry. Ability to prioritize workloads and work to challenging deadlines. Drive for continuous improvement Expert understanding … Lennon data, and knowledge of rail commercial or operational systems (e.g. MOIRA, ORCATS, Cubic, BT MND) Experience in data analytics including: use of very large datasets using tools such as PowerBI/SQL/Python/R. Proficient in Microsoft Office applications (including expert level Excel skills with experience designing ...

backend services. Collaborate with API, platform, cloud, and security architects. Establish authentication and authorisation standards using enterprise identity platforms. Support integration with CMS, DAM, analytics, personalisation, and search platforms. Security, Risk & Compliance Ensure solutions meet enterprise security, regulatory, privacy, and compliance requirements. Embed secure-by-design principles within frontend architecture. … regulated industry experience. Experience with Adobe Experience Manager (AEM) Headless CMS. Experience delivering enterprise digital transformation programmes. Familiarity with content platforms, personalisation engines, analytics solutions, and search technologies. Experience defining enterprise-wide UI standards and governance models. Success Measures Adoption of architectural standards across delivery teams. Improvement in application performance ...

Microsoft Dev Box/Power Platform Admin Center (PPAC) for developer environment provisioning Strong Azure fundamentals - Azure SQL, storage, networking, Azure Monitor, and Log Analytics Experience with storage management and cost/storage reduction initiatives within Azure/D365 environments Experience with F&O data integration patterns (OData, DIXF … Desirable: Prior Shopify Plus or retail/ecommerce integration experience Microsoft certifications (MB-500, MB-700, or Azure equivalents) Experience with Azure Monitor, Log Analytics, or Application Insights Experience with Infrastructure as Code (Bicep or Terraform) is advantageous Besides a competitive salary and an engaging and inclusive workplace ...

plans that drive customer acquisition, retention and lifetime value. Lead testing, targeting and personalisation strategies to improve customer outcomes and commercial performance. Insight, Analytics & Reporting Own customer marketing reporting, insight generation and performance measurement. Analyse customer, campaign and commercial data, turning insights into actionable recommendations. Identify opportunities to improve customer … professional who combines strong analytical capability with strategic thinking and hands-on delivery experience. You'll bring: Significant experience in CRM, database marketing, customer analytics or marketing automation roles. Advanced knowledge of customer segmentation, audience management and data-driven marketing. Strong mathematical, analytical and problem-solving skills, with the ability ...

plans that drive customer acquisition, retention and lifetime value. Lead testing, targeting and personalisation strategies to improve customer outcomes and commercial performance. Insight, Analytics & Reporting Own customer marketing reporting, insight generation and performance measurement. Analyse customer, campaign and commercial data, turning insights into actionable recommendations. Identify opportunities to improve customer … professional who combines strong analytical capability with strategic thinking and hands-on delivery experience. You'll bring: Significant experience in CRM, database marketing, customer analytics or marketing automation roles. Advanced knowledge of customer segmentation, audience management and data-driven marketing. Strong mathematical, analytical and problem-solving skills, with the ability ...

Strong technical knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Pricing Technology & Data Platforms: Proficiency in pricing and data tools such as WTW Radar, Databricks … Advanced analytical and numerical capability, with strong attention to detail and the ability to challenge assumptions, methods and outputs. Experience using statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Proficiency with pricing and data tools such as WTW Radar, Databricks, Python, PySpark ...

Posted Today: R33113FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve … NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well ...

lead governance forums, service reviews, and performance discussions. Deliver AI-enhanced reporting, including predictive insights and trend analysis using tools such as ServiceNow Performance Analytics, Azure Monitor, and AWS DevOps Guru. Ensure transparency and governance in AI usage within service delivery. Team Collaboration Work closely with cross-functional teams including … frameworks Hands-on experience with AIOps tools such as Dynatrace and ServiceNow Familiarity with observability tools (e.g. Datadog, New Relic, Elastic) Knowledge of event analytics tools such as Splunk IT Service Intelligence and Moogsoft Experience in stakeholder and client management Financial management, cost optimisation, and business case development experience Understanding ...

lead governance forums, service reviews, and performance discussions. Deliver AI-enhanced reporting, including predictive insights and trend analysis using tools such as ServiceNow Performance Analytics, Azure Monitor, and AWS DevOps Guru. Ensure transparency and governance in AI usage within service delivery. Team Collaboration Work closely with cross-functional teams including … frameworks Hands‐on experience with AIOps tools such as Dynatrace and ServiceNow Familiarity with observability tools (e.g. Datadog, New Relic, Elastic) Knowledge of event analytics tools such as Splunk IT Service Intelligence and Moogsoft Experience in stakeholder and client management Financial management, cost optimisation, and business case development experience Understanding ...

within regulated or risk aware environments. Strong engineering judgement, balancing innovation with operational readiness and control. Skills & Experience Desirable Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services. Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments. Familiarity with ...

easyJet? Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet. The Opportunity Join easyJet's Commercial Analytics team and shape the future of revenue management at scale. We're building next-generation pricing and optimisation systems that directly drive business performance across … Looking For Essential Qualifications Degree in statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced ...

business initiatives with varying levels of complexity, duration, stakeholders, and business impacts. This includes program planning duties such as requirements management, budget planning, financial analytics including P&L, schedule management, risk management, stakeholder management, communications, and executive reporting. Core Responsibilities Program Leadership: Lead assigned customer‐facing programs, strategic projects … Product Management, Engineering, Technical Support, Customer Success, Sales/Pre‐Sales, Operations, Finance, and external partners. Develop and maintain program plans including requirements, financial analytics including P&L, schedules, risk registers, dependencies, stakeholder roles and responsibilities, communications, and executive reporting. Identify, analyze, and mitigate program risks and proactively drive mitigation ...

operating model that supports ambitious international growth Building the planning and operating rhythms that connect global strategy with regional execution Creating world-class marketing analytics, performance reporting and executive insight that influence business decisions at every level Developing sophisticated attribution and measurement frameworks that connect marketing investment directly to pipeline … high-growth B2B SaaS Experience designing and leading global Marketing Operations functions across multiple regions and markets Deep expertise in marketing strategy, operations, analytics, attribution, planning, forecasting and performance management Strong commercial judgement with a proven ability to influence executive decision-making through insight and data Experience owning substantial global ...

Empower, Challenge and Drive – the operating manual for how we behave. Role Overview Join Barclays as a Python Platform Engineer and create an interactive analytics environment that enables quants, data scientists, and engineers to create, share, and run code at scale. Our multidisciplinary team are delivering notebook experiences with Jupyter … VSCode, distributed compute with Dask/Spark, and the runtime building blocks that power model development, pricing, and risk analytics across the organization. You’ll help define the roadmap, ship features, ensure reliability, and scale adoption while partnering closely with users in Markets Front Office. Strong experience in Python application ...

Marketing, Customer Success, Finance and Product. Drive automation initiatives that reduce manual effort and improve efficiency. Qualifications Essential Degree in Business, Finance, Economics, Data Analytics, Engineering or a related discipline (or equivalent experience). 8+ years in Revenue Operations, Sales Operations, Commercial Operations or Business Operations. 3+ years leading cross … grasp of go-to-market models and customer lifecycle metrics. Advanced CRM expertise (Salesforce, HubSpot or similar) and strong working knowledge of BI and analytics platforms. Highly analytical and data-driven, with excellent problem-solving skills. Strong stakeholder management, influencing, communication and presentation skills. Proven ability to lead change ...

3+ years' application development experience Strong database design and SQL skills REST API integration experience Data modelling Reporting and dashboard development KPI design and analytics Exposure to Google Workspace tooling (AppSheet, Apps Script, BigQuery, Looker Studio) or equivalents (Microsoft Power Platform, Power BI, ServiceNow) Familiarity with Remedy CMDB or ServiceNow ...

Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.RDBMS: Knowledge of PostgreSQL is a plus.Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management. #J-18808-Ljbffr ...

first few months. Help define, recruit and mentor the team as the function grows. Required Qualifications: Significant experience as a senior data or analytics engineer, comfortable owning architecture and making source-of-truth decisions independently. Strong hands-on data skills: fluent SQL, solid data modelling, and a modern data stack. … with the buzzwords. A proven track record in integrating multiple operational and commercial or SaaS systems. For us, that landscape includes Databricks, HubSpot, product analytics via Pendo, fleet and robot telemetry via Grafana, deployment tooling and contractual data. The communication and facilitation skills to align non-technical stakeholders on shared ...

Data (AD) team is responsible for the firm's data ecosystem, ensuring data can be discovered, trusted, accessed, and used effectively across investment, operations, analytics, AI, and client solutions. Our mission is to build and operate the capabilities, governance, and workflows that enable data producers and consumers across BlackRock … distribute data through a scalable marketplace, making both Aladdin and BlackRock-generated content easily discoverable and consumable. Provide well-governed data that fuels AI, analytics, and emerging digital capabilities across the firm. Offer common standards, tooling, governance, and reusable services that allow teams to focus on creating business value rather ...

workforce intelligence, planning and strategic decision-making. Requirements: Advanced Excel skills. Proven experience analysing large and complex datasets. Strong workforce, people, financial or operational analytics experience. Experience developing predictive models and scenario analysis. Excellent communication skills with the ability to translate technical findings into actionable insights. Ability to manage multiple ...

BlackRock's investment operating system called Aladdin. Aladdin is used both internally within BlackRock and externally by many financial institutions. Aladdin combines sophisticated risk analytics with comprehensive portfolio management, trading, and operations tools on a single platform to power informed decision-making and create a connective tissue for thousands … mindset.? Preferred Qualifications? Prior experience working in trading or financial services technology teams.? Knowledge of trading protocols, and low-latency systems.? Familiarity with data analytics and visualization tools.? Experience working with Spring Framework and Spring Boot web services. Fostering a collaborative environment and driving projects to successful completion. What ...

actually needs to grow — not just what's easiest to configure. Serve as A&D's focal point into centralised functions — Compensation, Enablement, and Analytics — making sure the business unit gets the right support, at the right time, from shared services. Progressively transfer capability and ownership into the business … governance frameworks that improve forecast accuracy and CRM adoption across an organisation. Experience acting as an operational bridge between central functions (Finance, Enablement, Compensation, Analytics) and business unit teams. Strong analytical capabilities, with experience producing trusted executive-level reporting and business intelligence. A customer-first mindset — you understand that every ...