including servers, networks, databases, and storage systems. Experience with monitoring tools, such as Nagios, SolarWinds, Zabbix, or similar. Familiarity with ITIL processes, including incident management, problemmanagement, change management, configuration management, and service capacity management. Proficient in event management techniques and tools. Familiarity with … networking protocols, including TCP/IP, DNS, DHCP, and routing. Experience in CMDB management, including updating and maintaining configuration information. Proficient in change monitoring and ensuring compliance with change management processes. Proficient in scripting languages (e.g., SQL, Python, PowerShell) for automation and monitoring tasks. Excellent analytical and problem … Respond promptly to system alerts and incidents, troubleshoot issues, and take appropriate actions to mitigate disruptions and minimise downtime, following ITIL event and incident management processes. Coordinate incident management activities, including incident response, escalation, and resolution, adhering to defined procedures and operating level agreements (OLAs) based on ITIL more »
Sheffield, South Yorkshire, United Kingdom Hybrid / WFH Options
Experis
/summary Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilise knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Data Modelling: Develop and … and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyse, and visualise data, providing comprehensive insights into service management activities and … trends. Collaboration: Work closely with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply more »
that meets their current and future needs effectively. The successful candidate would be have success in the below: * Acceptance into Service (AiS), Incident, Change & ProblemManagement, system performance, and Continuous Improvement (CI). * Technology Guidance: Provide expert advice on technology choices, focusing on the ITSM Tool program, cost more »