251 to 275 of 5,286 Analytics Jobs in England

and support relationships with contracted provider office staff that result in continued improvement in quality healthcare outcomes. Responsibilities Performance Area # 1 -Utilization Data Analytics Extract, transfer and download data from various sources Perform exploratory data analysis to uncover trends, patterns, and anomalies Monitor network utilization trends and identify cost More ❯

detailed analysis programmes. What do I need? Degree within a STEM subject and/or proven demonstrable equivalent working experience within data/insight analytics, data mining and statistical techniques. Proficient in SQL; knowledge of Python/Databricks/R is desirable. Demonstrable competence in delivering actionable customer intelligence. Strong More ❯

every opportunity for innovation is maximised . We’re growing - and fast. That’s why we have multiple Senior Analyst openings across our Planning & Analytics team . We’re looking for problem-solvers, data storytellers, and strategic thinkers to help us drive efficiency, identify cost-saving opportunities, and enhance decision More ❯

developing tools for manufacturing operations. Key Responsibilities: Manage the execution of data-focused projects within the EU&AF AME team, utilizing Lear's data analytics and application platform. Participate in multiple projects from their inception, contributing to defining the problem statement. Develop a standardized toolset across Lear for analyzing and More ❯

operational health. Develop dashboards that integrate data from multiple service operations tools to provide a comprehensive view of system health and SLAs. Utilise data analytics and machine learning models to predict potential service degradations and optimise resource allocation. Enhance reporting capabilities to support compliance, audit, and continuous service improvement initiatives. More ❯

re the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. We are seeking a highly analytical and results-driven Senior Revenue Operations Analyst to join our Revenue Operations team in London. This More ❯

retail and consumer goods industries. Experience designing and implementing solutions such as cloud platforms, enterprise resource planning (ERP) systems (either SAP or Oracle), data analytics, Point of Sale (POS), payments solutions, and digital platforms (e.g. eCommerce, Order Management, CMS etc). A strategic mindset with the ability to identify emerging More ❯

bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly More ❯

to 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 ❯

the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems More ❯

markets. Technical Proficiency: Strong programming knowledge in languages such as Python, Java, or C++. Experience with cloud platforms (e.g., AWS), database management, and data analytics tools. Familiarity with software development methodologies and best practices. Leadership & Communication: Demonstrated ability to lead and inspire technical teams. Excellent communication skills, with the ability More ❯

raining and Support: Provide training and support to users on Master Data management best practices and the effective use of CargoWise features. Reporting and Analytics: Develop and maintain reporting tools and dashboards to track Master Data performance metrics and inform decision-making. System Optimisation: Identify opportunities for process improvements within More ❯

driven decision-making. You will transform complex data into actionable insights that enable us to innovate & optimise performance. With a focus on delivery quality analytics and insight for Smart Metering related data sets, you'll play a pivotal role in how the data can be utilised to drive strategy. About More ❯

broad business audience, both internal and external · Educated on a variety of analytical methods, shapes thinking and influences decisions · Experience in Consumer/Marketing Analytics with the ability to apply knowledge of and passion for digital, social, mobile media, and other new platforms to provide insight and evaluation that helps More ❯

broad business audience, both internal and external · Educated on a variety of analytical methods, shapes thinking and influences decisions · Experience in Consumer/Marketing Analytics with the ability to apply knowledge of and passion for digital, social, mobile media, and other new platforms to provide insight and evaluation that helps More ❯

opportunity to shape the future of data-driven decision-making within the business. In this role, you will lead a team of Data and Analytics Managers, delivering high-quality reporting and dashboards that provide critical insights to drive performance across the organisation. You will play a pivotal role in shaping More ❯

knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting datasets, set up large-scale experiments, and implement growth strategies with NO red More ❯

knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting datasets, set up large-scale experiments, and implement growth strategies with NO red More ❯

and collaboration that results in a unified strategy. Be a part of a unique opportunity to build and evolve S&P Ratings' next-gen analytics platform. Responsibilities and Impact: Complete SDLC: architecture, design, development, and support of tech solutions. Active participation in all scrum ceremonies, following SAFe/AGILE best More ❯

date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to both technical and non-technical audiences. Work with various datasets, utilizing tools like More ❯

the most urgent and highest priorities, using data and your analytical skills. You will work on leading edge practices and technologies (agile teams, data analytics, container, cloud) supporting a worldwide critical infrastructure, highly secure and advanced financial organization. You will grow your cyber security knowledge, relate cyber to business benefits More ❯

IT & Data Department play a crucial role in enabling the business to implement new strategies with a focus on continuous improvement, whether through data-analytics based reviews of existing processes or the provision of cutting-edge insights into how we can innovate on the delivery of key projects across multiple More ❯

ability to work with a diverse and global team Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in data analytics and AI Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery of More ❯

efficiency. Develop and maintain performance metrics and dashboards to track and report on key forecasting and staffing indicators. About you Proven experience in data analytics ideally within a contact centre but not mandatory. Strong proficiency in Microsoft Excel and SQL including advanced formula creation, data manipulation, and macro development. Solid More ❯

in a manufacturing and distribution context is essential. Experience with leading BI tools in Azure, ETL, Streaming Data and Data Warehousing such as Synapse Analytics, Power BI, Azure SQL Data Warehouse, ADF and related platforms is crucial. Advanced T-SQL programming skills and deep knowledge of SQL and NoSQL databases More ❯