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- Tasks: Manage Azure-based SaaS solutions, monitor performance, and analyse data trends.
- Company: Join a UK leader in body-worn video technology, committed to safety and innovation.
- Benefits: Enjoy private medical insurance, birthday off, holiday purchase options, and hybrid working.
- Why this job: Be part of a mission-driven team focused on sustainability and inclusivity.
- Qualifications: 3+ years in cloud monitoring, strong Azure knowledge, and proficiency in KQL and scripting.
- Other info: We value diversity and ensure equal treatment for all applicants.
The predicted salary is between 28800 - 48000 £ per year.
Our body-worn video solutions are more than just technology; they are a testament to our commitment to safety, innovation and change. Rooted in the UK, we have become a trusted ally for many police forces, local authorities, retailers and private organisations; helping to pioneer and drive the application of body-worn video in settings and geographies where we can see exciting potential.
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.
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.
- Escalate detected incidents immediately to appropriate teams.
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.
- Develop scripts and queries (Kusto Query Language - KQL, PowerShell, Python) for log analysis.
- Recommend improvements to architecture based on performance data.
- Work closely with engineering, DevOps, and customer support teams to resolve incidents as fast as possible.
- Document best practices for monitoring, alerting, and reporting.
Requirements
- 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).
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
- Microsoft Certified: Azure Security Engineer Associate (AZ-500).
- Strong analytical mindset and ability to translate data into actionable insights.
We embrace hybrid working and, where it is operationally practicable, we support employees splitting their working time between the office and home.
Benefits
- Private Medical Insurance: Your health matters, and we’ve got you covered.
- Birthday Off: Celebrate your day your way – it’s on us.
- Holiday Purchase: Need more downtime? Purchase up to an additional 5 days of holiday.
- Employee Assistance Programme: Confidential 24/7 helpline and support for you and your immediate family.
- Pension: Plan for tomorrow with our pension scheme via NEST.
As a result, we have set ourselves the ambitious goal of reducing our energy, carbon, and waste footprint to zero. We continuously review our operations against our sustainability goals and all our company cars are electric. We are committed to embracing diversity and building an inclusive culture where all employees are valued, respected and listened to. All applicants to Reveal will receive equal treatment regardless of age, disability, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.
Cloud SQLServer Data Analyst employer: Reveal Media
Contact Detail:
Reveal Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud SQLServer Data Analyst
✨Tip Number 1
Familiarise yourself with Microsoft Azure services, especially App Service, SQL Database, and Blob Storage. Understanding these tools will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your Kusto Query Language (KQL) skills. Being able to showcase your proficiency in log analysis during discussions can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the cloud monitoring and data analysis fields. Engaging with others in the industry can provide insights into best practices and may even lead to referrals.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've used automation scripting, particularly in PowerShell or Python. Sharing specific examples of how you've improved processes can highlight your problem-solving abilities.
We think you need these skills to ace Cloud SQLServer 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 knowledge of Microsoft Azure services and any certifications you hold.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it aligns with the company's mission. Mention specific tools and languages you are proficient in, such as KQL, PowerShell, or Python, and how you've used them in past roles.
Showcase Your Analytical Skills: Provide examples of how you've translated data into actionable insights in previous positions. Highlight any historical trend reports you've built and how they impacted system performance or customer satisfaction.
Demonstrate Team Collaboration: Mention experiences where you've worked closely with engineering, DevOps, or customer support teams to resolve incidents. This shows your ability to collaborate effectively in a team-oriented environment.
How to prepare for a job interview at Reveal Media
✨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've implemented Azure Monitor, Application Insights, or Log Analytics, and how these tools helped improve system performance.
✨Demonstrate Your Analytical Skills
Prepare examples of how you've used data analysis to drive decisions in previous roles. Discuss your proficiency in Kusto Query Language (KQL) and any scripts you've developed using PowerShell or Python for log analysis.
✨Emphasise Team Collaboration
This role requires close collaboration with engineering, DevOps, and customer support teams. Share experiences where you successfully worked in a team to resolve incidents or improve processes, showcasing your ability to communicate effectively across departments.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past incidents you've managed, how you detected anomalies, and the steps you took to escalate issues. This will demonstrate your proactive approach to incident detection and resolution.
