APM Engineer & Analytics Specialist

In order to be considered the following is required:

• A relevant ICT, Computing, Engineering, Information Systems, Analytics qualification or equivalent professionally assessed capability
• Practical experience with ScienceLogic/SL1 and/or Motadata ObserveOps. Equivalent monitoring or observability experience will also be considered, provided there is a credible readiness plan
• Experience working within regulated, public-sector, financial-services or multi-provider enterprise environments
• Relevant training in ITIL, monitoring / observability, analytics, business analysis or value management, supported by demonstrable practical application
• Experience developing reusable metric dictionaries, analytical templates, dashboards and/or measurement methodologies
• Exposure to application performance, logs / traces / flows, database or middleware performance and/or controlled automation

The successful candidate will be expected to:

• Produce reproducible analytical outputs with clearly documented sources, calculations, coverage and limitations
• Develop defensible findings that distinguish between symptoms, plausible causes, service implications and areas of uncertainty
• Translate complex technical information into clear technical and executive-level explanations, including practical action options and clearly identified decision owners
• Define credible KPIs, baselines and value hypotheses that are aligned with genuine service or business objectives
• Provide transparent comparisons between expected and measured value, with appropriate attribution and validation
• Ensure reliable delivery, disciplined scope management, visible dependencies and effective handover
• Develop reusable methods, templates and knowledge assets that can be safely and consistently applied by other team members

We are looking for someone who will bring a combination of technical analytical capability, service-management understanding and commercial awareness, with a strong focus on data integrity, evidence-based insights and measurable value.

Please URGENTLY email your CV for consideration, if you are comfortable working with complex technical environments, challenging data quality where necessary, communicating findings to both technical and executive audiences and turning service data into practical insights that support continuous improvement and informed decision-making

Information displayed above is not limited to the advertisement.

Please consider your application unsuccessful if you have not received a response within 14 days of submitting your application.