2,251 to 2,275 of 10,192 Analytics Jobs

should you come and work for a Data & Analytics Delivery department within a Building Society? Well, we’re evolving and growing. And that brings changes to everything we do. We’re taking a good look at what we do and how we can do it faster. More efficient. We build ...

built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale. With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. ...

asset audits and reconciliations across multiple data sources. Develop and maintain asset management processes in line with organisational standards and policies. Produce reporting and analytics to support decision-making and operational effectiveness.Procurement & Vendor Management• Manage day-to-day procurement of IT hardware, software, SaaS applications, and cloud-based services. Process ...

sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. Responsibilities Deploy and manage scalable data operations that support advanced analytics and data‐driven decision‐making, crucial for our organisational growth and innovation. Requirements Develop and manage data pipelines using Python/Go/Azure Data ...

ability to interrogate data models, identify quality issues and translate findings into product decisions. Working knowledge of data modelling concepts, data pipelines and analytics, with the ability to collaborate effectively with technical teams. Experience using AI tools to improve productivity, analysis and decision-making. Experience within energy retail, utilities ...

part of something extraordinary. Were seeking a future team member for the role of Financial Modeler/Engineer to join our Corporate Trust Analytics team in Manchester, UK . In this role, youll make an impact in the following ways: Development of financial models to generate investor reports, cash modeling ...

reliable data pipelines using Python and Databricks to support enterprise-level business needs. Develop and maintain data models and architectures that enable high-quality analytics and reporting across multiple business functions. Drive root cause analysis and corrective action for data quality issues, ensuring consumers can trust the data they rely ...

dashboards that deliver meaningful insights into portfolio and supplier performance. Collaborate with business stakeholders to enhance reporting quality and decision-making effectiveness. Develop analytics to identify trends, risks, and areas for intervention. Translate complex data into actionable recommendations for senior stakeholders. Automation & Digital Transformation Identify manual processes ripe for automation ...

dashboards that deliver meaningful insights into portfolio and supplier performance. Collaborate with business stakeholders to enhance reporting quality and decision-making effectiveness. Develop analytics to identify trends, risks, and areas for intervention. Translate complex data into actionable recommendations for senior stakeholders. Automation & Digital Transformation Identify manual processes ripe for automation ...

dashboards that deliver meaningful insights into portfolio and supplier performance. Collaborate with business stakeholders to enhance reporting quality and decision-making effectiveness. Develop analytics to identify trends, risks, and areas for intervention. Translate complex data into actionable recommendations for senior stakeholders. Automation & Digital Transformation Identify manual processes ripe for automation ...

dashboards that deliver meaningful insights into portfolio and supplier performance. Collaborate with business stakeholders to enhance reporting quality and decision-making effectiveness. Develop analytics to identify trends, risks, and areas for intervention. Translate complex data into actionable recommendations for senior stakeholders. Automation & Digital Transformation Identify manual processes ripe for automation ...

analysis of spend data across sectors, regions and business units to improve visibility and decision making Partnering with category managers to deliver reporting and analytics that support category strategies across direct and indirect spend areas Identifying cost optimisation and savings opportunities through detailed spend analysis and market data interpretation Reviewing ...

dashboards that deliver meaningful insights into portfolio and supplier performance. Collaborate with business stakeholders to enhance reporting quality and decision-making effectiveness. Develop analytics to identify trends, risks, and areas for intervention. Translate complex data into actionable recommendations for senior stakeholders. Automation & Digital Transformation Identify manual processes ripe for automation ...

dashboards that deliver meaningful insights into portfolio and supplier performance. Collaborate with business stakeholders to enhance reporting quality and decision-making effectiveness. Develop analytics to identify trends, risks, and areas for intervention. Translate complex data into actionable recommendations for senior stakeholders. Automation & Digital Transformation Identify manual processes ripe for automation ...

Security Operations (SecOps) Strategic Portfolio Management (SPM) Platform Expertise Flow Designer IntegrationHub Service Portal/Employee Center CMDB and Discovery Event Management Performance Analytics UI Builder Scoped Applications Now Experience Framework Integration Technologies REST APIs SOAP Web Services JDBC LDAP SSO (SAML/OAuth) MID Server Architecture Cloud integrations (Azure ...

company objectives. Manage KPIs and OKRs, provide insights for improvement, and support product development. Experience & Background Essential: 8+ years of experience in data management, analytics, or related roles, including 2+ years of direct people management experience. Subject Matter Expert (SME)-level knowledge of the maritime industry, including vessel data, shipping ...

data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. You will report into the Data and Analytics organization as part of a new team being created to enable future data capabilities in relation to our AI ambitions.... Responsibilities: Semantic Layer ImplementationImplement JSON ...

Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such as business intelligence, data analytics, or statistics. Experience working with database technologies (e.g., SQL, NoSQL). Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized ...

improve services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring : AI can evaluate creditworthiness more ...

orchestration with AKS and Docker (design, scaling, network and security). API Management. App Services and Azure Functions. Observability using Azure Monitor, Log Analytics and Application Insights, Prometheus and Grafana. Implementation of governance and compliance controls using Azure Policy, Management Groups, and Landing Zone principles. Azure SQL and Managed Instance. ...

Derivatives Commodities Strong knowledge of trading data and its movement across Front Office systems. Data Platforms & Architecture Experience delivering large-scale data and analytics initiatives. Strong understanding of: Data Lakes Databricks Cloud data platforms Data governance frameworks Data lineage and controls Experience integrating complex data sources into surveillance or compliance ...

work should influence real decisions. Your skills and experience The successful candidate will have: Three or more years of commercial Data Science or applied analytics experience. Strong Python skills, including pandas, scikit-learn and common Data Science libraries. Advanced SQL skills and experience working with large or varied datasets. Commercial ...

premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving ...

right. You’re the person who notices when the numbers don’t add up. Technically deep. 1–5 years as a data scientist, analytics engineer, or quantitative analyst. You’re fluent in Python and SQL. You’ve built pipelines, not just queried tables. You’ve debugged data issues that took ...

built a solid reputation as the leading global innovator in integrated performance-based analysis and are now home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services empower designers, engineers, building owners and operators to deliver more efficient, resilient and sustainable ...