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For Companies At a Glance
- Tasks: Monitor Azure-based systems, detect issues, and analyse data for performance improvements.
- Company: Join a dynamic team focused on cloud solutions in Kingston upon Thames.
- Benefits: Enjoy a collaborative work environment with opportunities for automation and continuous improvement.
- Why this job: Be part of a forward-thinking team that values innovation and customer experience.
- Qualifications: 3+ years in cloud monitoring; expertise in Azure services and Kusto Query Language required.
- Other info: Police security clearance checks are necessary; only suitable applicants will be contacted.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled Cloud Monitoring & Data Analyst for our client in Kingston upon Thames. This is a fantastic opportunity for an experienced professional to manage and monitor an Azure-based SaaS solution, ensuring system reliability and an exceptional customer experience. The successful candidate will play a key role in Real Time issue detection, incident escalation, and long-term trend analysis.
Key Responsibilities
- Monitoring & Incident Detection
- Manage Azure Monitor, Application Insights, and Log Analytics for performance tracking.
- Configure automated alerts for App Service, SQL Database, and Blob Storage.
- Implement synthetic monitoring to proactively detect issues.
- Data Analysis & Reporting
- Build long-term historical reports beyond Azure's default retention period.
- Analyze performance logs to identify recurring issues.
- Provide insights into system downtime, trends, and customer impact.
- Automation & Continuous Improvement
- Develop scripts and queries using Kusto Query Language (KQL), PowerShell, or Python.
- Implement automated remediation workflows where applicable.
- Suggest architecture enhancements based on performance data analysis.
- Collaboration & Documentation
- Work closely with engineering, DevOps, and customer support teams for rapid incident resolution.
- Document best practices for monitoring, alerting, and reporting.
- Assist in setting up a customer-facing status page for improved transparency.
Required Skills & Experience
Essential:
- 3+ years' experience in cloud monitoring, data analysis, or DevOps support.
- Expertise in Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics).
- Strong proficiency in Kusto Query Language (KQL).
- Hands-on experience with automation Scripting (PowerShell, Python, or Azure Functions).
- Proven experience in setting up automated alerts, managing dashboards, and generating reports to improve system reliability and customer satisfaction.
Desirable:
- Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel).
- Relevant Azure certifications:
- Microsoft Certified: Azure Administrator Associate (AZ-104)
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Microsoft Certified: Azure Security Engineer Associate (AZ-500)
If you have a passion for cloud monitoring, automation, and data-driven insights, apply now to join a dynamic and forward-thinking team!
Cloud Monitoring & Data Analyst employer: Proactive Appointments
Contact Detail:
Proactive Appointments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Monitoring & Data Analyst
✨Tip Number 1
Familiarise yourself with Azure services, especially Azure Monitor and Application Insights. Understanding these tools inside out will not only help you during the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Kusto Query Language (KQL) skills. Being able to showcase your ability to write effective queries can set you apart from other candidates and show that you're ready to hit the ground running.
✨Tip Number 3
Prepare examples of how you've implemented automated alerts or monitoring solutions in previous roles. Real-life scenarios can illustrate your problem-solving skills and your hands-on experience with cloud monitoring.
✨Tip Number 4
Network with professionals in the cloud monitoring field, especially those who work with Azure. Engaging with others can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
We think you need these skills to ace Cloud Monitoring & Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud monitoring and data analysis, particularly with Microsoft Azure services. Use specific examples that demonstrate your expertise in Kusto Query Language (KQL) and automation scripting.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cloud monitoring and your ability to improve system reliability. Mention your relevant experience and how it aligns with the key responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, emphasise your hands-on experience with Azure Monitor, Application Insights, and Log Analytics. Be sure to mention any relevant certifications you hold, as these can set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role focused on monitoring and data analysis.
How to prepare for a job interview at Proactive Appointments
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Microsoft Azure services during the interview. Be prepared to discuss specific projects where you managed Azure Monitor, Application Insights, or Log Analytics, and how you used these tools to enhance system reliability.
✨Demonstrate Your Data Analysis Skills
Prepare to talk about your experience in data analysis, especially using Kusto Query Language (KQL). Bring examples of how you've built long-term reports or identified trends from performance logs that led to actionable insights.
✨Discuss Automation Experience
Since automation is key for this role, be ready to discuss any scripts or workflows you've developed using PowerShell, Python, or Azure Functions. Share specific instances where your automation efforts improved efficiency or resolved issues.
✨Collaboration is Key
Emphasise your ability to work with cross-functional teams like engineering and DevOps. Prepare examples of how you've collaborated on incident resolution or documentation of best practices, as teamwork will be crucial in this position.
