776 to 800 of 2,369 Analytics Jobs

delivering results at pace. You bring: • Proven results across at least 3 of the 5 marketing pillars • Strong digital marketing capability (SEO, PPC, analytics, automation) • Experience running integrated lead generation campaigns • Excellent writing skills and the ability to translate technical complexity into business value • High proficiency with modern marketing ...

record of co creating roadmaps and gaining stakeholder alignment. Hands on familiarity with modern deployment, UEM, collaboration, identity/security, DEX/experience analytics (Lenovo xIQ or equivalent), and service desk modernization. Experience owning the lifecycle of a complex, data intensive enterprise product (AI/ML platform or large scale ...

insights that inform product features, integrations, and go‐to‐market strategy. Represent Elliptic at industry events and partner forums, demonstrating thought leadership in blockchain analytics, compliance, and crypto‐risk management. Mentor peers within the Solutions Consulting community, supporting complex deals and refining methodologies. Shape global processes and automation initiatives that ...

Centric Mindset – Committed to delivering exceptional service, ensuring customer and service provider issues are resolved effectively and efficiently. As part of a leading global analytics and digital solutions company, you can look forward to: A market competitive package and a rewarding pension. EXL provides everyday financial well-being solutions, such ...

goal is to drive innovation and guide our clients' digital supply chain transformation journeys, leveraging innovative technology i.e., AI/ML, predictive and prescriptive analytics to enable decision automation and increased operational efficiency. We are a global team and operating from various locations in Europe, North America, and India. ...

value-based positioning. Excellent communication skills, capable of crafting persuasive, data-backed narratives for commercial and technical audiences. Proficiency in marketing automation, CRM, and analytics tools. Strategic thinker with strong commercial acumen and attention to detail. Collaborative and adaptable, comfortable influencing cross-functional teams. French language proficiency desirable. Why Microlise ...

based real-time communication Knowledge of DI frameworks such as Hilt Experience with Realm, especially synced Realms Familiarity with Firebase services — Crashlytics, Remote Config, Analytics Experience integrating with Android Location Services Familiarity with basic RxJava usage Understanding of the process of publishing apps to the Google Play Store, including Google ...

rule-based technologies (e.g. chatbots, IVR). Excellent communication, stakeholder management, and strategic planning skills. Experience with mobile and web application ecosystems. Familiarity with analytics and measurement of conversational experiences. Consistently prioritizes safety and security of self, others, and personal data. Embraces diverse people, thinking, and styles. Possesses a high ...

delivery risk. Desirable skills/knowledge/experience: Experience across technology and business services in one or more domains: AI, cloud, digital transformation, data & analytics, cyber security, enterprise solutions, application services, managed services. Experience of pre‐sales activities as part of selling IT services into UK NHS Knowledge of relevant ...

Sales, Workflow solutionslocations: GBR-London-5 Canada Squaretime type: Full timeposted on: Posted Todayjob requisition id: R0117866Group Director, Head of Sales – EMEA Workflow SolutionsData & Analytics DivisionWe are seeking an accomplished and visionary Group Director, Head of Sales – EMEA Trading & Investment Solutions to join our senior leadership team. This role carries ...

19650. Deliver high quality data models – getting the best out of our Microsoft Azure environment and recent adoption of Microsoft Fabric. Enable high quality analytics and insight capabilities – making sure information is trusted, accessible and fit for purpose. Embed robust information security standards and practices. Ensure relevant asset and operational ...

PySpark to support versioned, reproducible and regulator‐defensible exposure calculations.* **Develop high‐performance compute pipelines** that support intraday recalculation, scenario testing and rapid exposure analytics across complex derivatives portfolios.* **Establish strong governance and auditability**, embedding lineage, versioning, entitlements, and evidence‐ready data flows throughout the architecture.* **Architect an AI‐ready ...

Enablement: Expertise in creating sales enablement tools, training resources, and content to support the sales team. Data-Driven Insights: Proficiency in leveraging data and analytics to measure marketing effectiveness and product success. Project Coordination: Strong organizational and project management skills to handle multiple initiatives, campaigns, and product launches simultaneously. Skills ...

suspicious activity, like money laundering, and stops it in its tracks. Napier AI’s technology works like a digital detective, combining AI with smart analytics to outthink criminals and protect people’s money from becoming criminal proceeds. It’s not just about stopping crime—it’s about making the financial ...

human decisionmaking, with appropriate controls and escalation pathsRegularly produce and review key performance metrics with management, product teams, and client services partnersEstablish dashboards and analytics for service health, operational effectiveness, and team performanceLead customer success efforts through close partnership with Client Services and targeted client engagementDefine and execute the operational ...

certifications another SucessFactors modules. Extensive experience in data migration, integrations (e.g. SAP BTP, middleware), and SuccessFactors reporting (including People Stories/Stories in People Analytics). Strong knowledge of SuccessFactors implementation methodology and experience managing full project lifecycles, including risk and issue management. Required Skills/Attributes: Exceptional leadership ...

structured, and event-based data persistence strategies Support: Batch AML monitoring Regulatory reporting Merchants Transactions Case management Ensure compatibility with enterprise data lake and analytics platforms Act as trusted adviser to Risk leadership Influence roadmap prioritization and capability sequencing Mentor engineers and domain architects Drive architecture standards and review forums ...

talent pipelines for current and future hiring needs. Collaborate with department heads to align recruitment with workforce planning and anticipate upcoming needs. Recruitment Metrics & Analytics: Track and analyse key recruitment metrics, including time-to-fill, source effectiveness, and candidate satisfaction. Use data to make informed decisions and improve recruitment efficiency. ...

ensuring compliance with regulatory and security requirements while maintaining business continuity during divestitures. Providing leadership on emerging technologies and digital capabilities: AI, advanced analytics, cybersecurity and cloud-native architectures - evaluating scalability, interoperability, and alignment with the client’s investment thesis and long‐term digital strategy. Advising clients on translating complex ...

seeking a highly capable Data Scientist with strong experience in Bayesian hierarchical modelling and advanced statistical techniques to join a growing data and analytics capability. This role sits across data science, data engineering, and backend development, supporting the delivery of scalable models, robust data pipelines, and high-quality insight products. … will work with complex, high-volume datasets, applying statistical rigour to solve real business problems, while also contributing to the engineering layer that enables analytics at scale. Key Responsibilities Design, build, and deploy Bayesian hierarchical models to support forecasting, inference, and decision-making Develop and maintain data pipelines ...

NatWest is a major UK retail bank, providing every day banking services to over 19 million customers. The banks expertise and services span retail, commercial and private banking. AMS is a global workforce solutions partner ...

A leading marketplace platform for beauty and wellness is seeking a highly experienced Chief Financial Officer (CFO) to define financial strategy and support global expansion. The ideal candidate will have a minimum of 10 years ...

Perform data validation, quality checks, and ensure data accuracy Support decision-making with data-driven recommendations Required Skills & Qualifications: Bachelors degree in Business, Data Analytics, Statistics, or related field Strong analytical and problem-solving skills Proficiency in SQL, Excel, and data visualization tools (Power BI/Tableau) Knowledge of data … clearly Preferred Qualifications: Experience with Python or R for data analysis Familiarity with Agile/Scrum methodologies Prior experience in business analysis or data analytics roles Knowledge of ETL processes and data warehousing Key Competencies: Critical thinking Attention to detail Business acumen Communication skills Time management ...

Fabric, ensuring governance, quality, and scalability in all integration processes. As a Senior Data Integration Engineer, you will work closely with the Data and Analytics Team, and stakeholders across the business to ensure seamless data accessibility and usage across the organisation. Role Design, develop, and maintain scalable, robust data integrations … Automate experience will be considered Strong experience working with Azure services such as Storage Accounts, Key Vault, Azure Functions, and API Management Experience developing analytics solutions using Microsoft Fabric or comparable Azure PaaS services (Azure Data Factory, Synapse, etc.) Experience building and deploying Azure solutions using Azure DevOps pipelines ...

pipelines across CRM, HR, Finance, and commercial systems Developing automated ETL/ELT pipelines using modern Azure tools Turning raw data into clean, reliable, analytics- and AI-ready datasets Working closely with data architects, analysts, and non-technical stakeholders Creating well-modelled datasets to support Power BI and wider analytics ...