At a Glance
- 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, professional development opportunities, and a supportive team culture.
- Why this job: Be part of a dynamic team that values innovation and makes a real-world impact.
- Qualifications: 3+ years in cloud monitoring, strong Azure knowledge, and proficiency in KQL and scripting.
- Other info: Work in a diverse environment where your ideas can flourish and grow.
The predicted salary is between 60000 - 70000 £ per year.
Cloud Monitoring & Data AnalystJob Type PermanentSalary: £60,000 – £70,000 DOELocation: Kingston Upon Thames – Hybrid 1-2 days in the officeConsultant: Mags RendleThe CompanyTDRC are excited to be working with a global leader in security evidence management software. Their systems play a crucial role in the private security sector as well as within healthcare, retail and within sport.They are supplying and supporting cameras and software to clients in 40+ countries and have offices in the UK, USA and Hong Kong with their international activities growing rapidly.In this rapidly expanding market, they have sold equipment to the majority of Police Forces in the UK as well as many local authorities and private organisations. It\’s an exciting time to be joining this firm as they continue to lead the world in the development and application of their technology, with their influence spanning over 40 countries. Their mission to make a positive impact continues to gain momentumPurpose 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 TasksMonitoring & Incident DetectionImplement 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 & ReportingBuild 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 highl level of service to customers.Automation & Continuous ImprovementDevelop 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 & DocumentationWork 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 ExperienceEssentialPrevious 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).DesirableFamiliarity 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 AttributesStrong 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 processesWhy applyThis isn\’t just about taking on a job—it\’s about being part of a family that champions change. This company combine 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.Apply below and I will be in touch to discuss the company, the role and opportunity with you further.The Digital Recruitment Company is an Employment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies.To apply for this role please contact us at: Mags Rendle0203 640 2133mags@digitalrecruitmentcompany.comwww.digitalrecruitmentcompany.com
Azure Data Analyst employer: LinkedIn
Contact Detail:
LinkedIn 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 those mentioned in the job description like Azure Monitor and Application Insights. Having hands-on experience or projects that showcase your skills with these tools can set you apart.
✨Tip Number 2
Brush up on your Kusto Query Language (KQL) skills. Being able to demonstrate your proficiency in log analysis using KQL during discussions can significantly boost your chances of landing the role.
✨Tip Number 3
Prepare to discuss your previous experiences with automated alerts and dashboards. Be ready to share specific examples of how you've improved system reliability and customer experience in past roles.
✨Tip Number 4
Showcase your problem-solving skills by preparing scenarios where you've successfully resolved incidents or improved processes. This will highlight your proactive approach and analytical mindset, which are key attributes for this position.
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 you've done.
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 services.
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 well in a team and contribute to resolving incidents effectively.
How to prepare for a job interview at LinkedIn
✨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
Since the role requires strong analytical skills, come prepared with examples of how you've translated data into actionable insights. Discuss any historical trend reports you've built and how they impacted decision-making.
✨Prepare for Technical Questions
Expect technical questions related to Kusto Query Language (KQL) and automation scripting. Brush up on your knowledge of PowerShell and Python, and be ready to explain how you've used these languages in previous roles.
✨Emphasise Collaboration Experience
This position involves working closely with various teams. Share examples of how you've collaborated with engineering, DevOps, or customer support teams to resolve incidents quickly and effectively, showcasing your teamwork skills.