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- Tasks: Monitor Azure systems, detect issues, and provide data analysis for improved reliability.
- Company: Join a global leader in security evidence management software with a mission to enhance safety.
- Benefits: Enjoy hybrid work, competitive salary, and a supportive culture focused on innovation and wellbeing.
- Why this job: Be part of a dynamic team making a real impact while growing your skills in a thriving industry.
- Qualifications: 3+ years in cloud monitoring, strong Azure knowledge, and proficiency in KQL and automation scripting.
- Other info: Work closely with diverse teams and contribute to exciting projects that drive change.
The predicted salary is between 48000 - 56000 £ per year.
Location: Kingston Upon Thames – Hybrid 1-2 days in the office
Salary: £60,000 - £70,000 DOE
Purpose: To manage and monitor our Azure-based SaaS solution in order to ensure system reliability and a high standard of customer service at all times. To detect any issues in real-time and escalate to appropriate teams, in advance of the customer identifying an issue. To follow up and ensure identified issues are resolved appropriately. To use data to build historical trend analyses and provide reporting.
Your Responsibilities and Tasks:
- Monitoring & Incident Detection: Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real-time dashboards to track system health. Escalate detected incidents immediately to appropriate teams. Follow-up to ensure incidents are resolved.
- Data Analysis & Reporting: Build historical trend reports beyond Azure’s 90-day retention, storing logs for long-term analysis. Analyse logs and performance metrics to identify recurring issues. Provide insights into system downtime, performance trends, and customer impact. Generate weekly and monthly reports on system health and reliability. Provide recommendations and solutions to ensure consistent high level of service to customers.
- Automation & Continuous Improvement: Develop scripts and queries (Kusto Query Language - KQL, PowerShell, Python) for log analysis. Implement automated remediation workflows where possible. Recommend improvements to architecture based on performance data.
- Collaboration & Documentation: Work closely with engineering, DevOps, and customer support teams to resolve incidents as fast as possible. Document best practices for monitoring, alerting, and reporting. Assist in setting up a customer-facing status page to improve transparency.
Your Qualifications, Technical Skills and Experience:
- Essential: Previous experience of setting up automated alerts, managing dashboards, and generating reports to improve system reliability and customer experience. 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 KQL (Kusto Query Language) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions).
- Desirable: Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel) Microsoft Certified: Azure Administrator Associate (AZ-104) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Azure Security Engineer Associate (AZ-500)
Your Personal Skills and Attributes: Strong analytical mindset and ability to translate data into actionable insights. Excellent problem-solving skills and ability to work independently. Proactive approach with a desire to own and continually improve processes.
Why apply: This isn’t just about taking on a job—it’s about being part of a family that champions change. This company combines their passion for innovation with a genuine desire to make the world safer. Here, every challenge becomes an exciting project, every solution a collective win. Surrounded by a diverse, forward-thinking team, you’ll experience a culture where ideas flourish, growth is nurtured, and every day is an opportunity to make a real difference. And with an array of benefits tailored to your wellbeing and development, they ensure that while you’re taking care of our mission, they will be taking care of you.
Azure Data Analyst employer: The Digital Recruitment Company
Contact Detail:
The Digital Recruitment Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Analyst
✨Tip Number 1
Familiarise yourself with Azure services, especially Azure Monitor and Application Insights. Understanding these tools will not only help you in interviews but also demonstrate your proactive approach to mastering the technologies used in the role.
✨Tip Number 2
Showcase your experience with Kusto Query Language (KQL) by preparing examples of how you've used it for log analysis in previous roles. This will highlight your technical skills and your ability to derive actionable insights from data.
✨Tip Number 3
Network with professionals in the cloud monitoring and data analysis fields. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss your problem-solving strategies during the interview. Be ready to share specific examples of how you've tackled incidents or improved processes in past roles, as this aligns closely with the responsibilities outlined in the job description.
We think you need these skills to ace Azure Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud monitoring, data analysis, and DevOps support. Emphasise your familiarity with Microsoft Azure services and any automation scripting skills you possess.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical mindset and problem-solving skills, particularly in relation to Azure-based solutions.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in Kusto Query Language (KQL) and any experience with automation tools like PowerShell or Python. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working closely with engineering, DevOps, and customer support teams, include examples of past collaborative projects. This will show your ability to work effectively in a team environment and contribute to resolving incidents quickly.
How to prepare for a job interview at The Digital Recruitment Company
✨Showcase Your Azure Knowledge
Make sure to highlight your experience with Microsoft Azure services during the interview. Be prepared to discuss specific projects where you implemented Azure Monitor, Application Insights, or Log Analytics, and how these tools improved system reliability.
✨Demonstrate Analytical Skills
Prepare to share examples of how you've used data analysis to identify trends or issues in previous roles. Discuss any historical trend reports you've built and how they impacted decision-making or service improvements.
✨Familiarise Yourself with KQL
Since proficiency in Kusto Query Language (KQL) is essential for this role, brush up on your skills. Be ready to explain how you've used KQL for log analysis and any scripts you've developed to automate processes.
✨Emphasise Collaboration Experience
This role requires working closely with various teams. Share experiences where you've collaborated with engineering, DevOps, or customer support to resolve incidents quickly. Highlight your communication skills and ability to document best practices.
