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Cloud Monitoring & Data Analyst

March Recruitment
Posted a day ago, valid for 17 days
Location

Kingston Upon Thames, Greater London KT1 4AS, England

Contract type

Full Time

Retirement Plan
Employee Assistance

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Our client is seeking a Cloud Monitoring & Data Analyst to oversee their Azure-based SaaS solution, ensuring proactive issue detection and resolution.
  • The role requires a minimum of 3 years of experience in cloud monitoring, data analysis, or DevOps support, along with strong knowledge of Microsoft Azure services.
  • Key responsibilities include implementing Azure Monitor, building trend reports, and developing automation scripts in KQL, PowerShell, or Python.
  • The position offers a salary of £40,000 to £50,000 and includes benefits such as private medical insurance and additional holiday purchase options.
  • This is an office-based role, and applicants should be aware that only those with relevant skills will be contacted regarding their application.

Our client are looking for a Cloud Monitoring & Data Analyst to manage and monitor their Azure-based SaaS solution, proactively detecting and resolving issues before they impact customers.

Key Responsibilities

  • Monitoring & Incident Detection - Implement and manage Azure Monitor, Application Insights, and Log Analytics, setting up automated alerts and dashboards for real-time system health tracking.
  • Data Analysis & Reporting - Build historical trend reports, analyse logs, and provide insights into system performance and customer impact.
  • Automation & Continuous Improvement - Develop scripts (KQL, PowerShell, Python) for log analysis and implement automated remediation workflows.
  • Collaboration & Documentation - Work closely with engineering, DevOps, and support teams to resolve incidents quickly, while documenting best practices and contributing to a customer-facing status page.

Key attributes

  • 3+ years’ experience in cloud monitoring, data analysis, or DevOps support.
  • Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics).
  • Proficiency in Kusto Query Language (KQL) and automation scripting (PowerShell, Python).
  • Experience setting up automated alerts, dashboards, and reports to enhance system reliability.
  • Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel) (Desirable)
  • Microsoft Azure certifications (AZ-104, AZ-305, AZ-500) (Desirable)

Benefits

  • Private Medical Insurance
  • Birthday Off
  • Purchase up to an additional 5 days of holiday
  • Employee Assistance Programme
  • Aim to finish work at 2pm on Fridays
  • Pension scheme via NEST.

*Please note this role is Office-Based*

Please note: Due to the large volume of applications we receive for each position we will only be able to respond to applications received with the relevant skills. Should you not hear from us within a week, unfortunately on this occasion your application has been unsuccessful.

March Recruitment is an equal opportunities employer and complies with all relevant UK legislation. Please note that by applying for this vacancy you accept March Recruitment’s Privacy Policy and GDPR Policy which can be found on our website and therefore give us consent to contact you.

Consultant: Donna Jackson

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.