Cloud Data Analyst (m/f/d)
Cloud Data Analyst (m/f/d)

Cloud Data Analyst (m/f/d)

Kingston upon Thames Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Manage and monitor our Azure-based SaaS solution for reliability and customer service.
  • Company: Join a UK-based leader in body-worn video solutions, 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 while tackling exciting challenges.
  • Qualifications: 3+ years in cloud monitoring or data analysis; strong Azure and scripting skills required.
  • Other info: We value diversity and ensure equal treatment for all applicants.

The predicted salary is between 36000 - 60000 £ per year.

Our body-worn video solutions are more than just technology; they're a testament to our commitment to safety, innovation and change. Rooted in the UK, we’ve 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).
  • 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 Data Analyst (m/f/d) employer: Reveal Media

At Reveal, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee wellbeing is reflected in our comprehensive benefits package, including private medical insurance, birthday off, and the flexibility of hybrid working arrangements. With a strong focus on sustainability and diversity, we provide ample opportunities for professional growth while ensuring that every team member feels valued and supported in their role as a Cloud Data Analyst.
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Contact Detail:

Reveal Media Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Cloud Data Analyst (m/f/d)

✨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 really set you apart.

✨Tip Number 2

Brush up on your Kusto Query Language (KQL) skills. Consider creating sample queries that demonstrate your ability to analyse logs and performance metrics, as this will be crucial for the role.

✨Tip Number 3

Network with professionals in the cloud data analysis field, particularly those who work with Azure. Engaging in relevant online communities or attending meetups can provide insights and potentially lead to referrals.

✨Tip Number 4

Prepare to discuss your previous experiences in cloud monitoring and data analysis during interviews. Be ready to share specific examples of how you've used data to drive improvements or resolve incidents in past roles.

We think you need these skills to ace Cloud Data Analyst (m/f/d)

Cloud Monitoring
Data Analysis
Microsoft Azure Services
Kusto Query Language (KQL)
PowerShell Scripting
Python Programming
Incident Detection
Automated Alerting
Log Analytics
Performance Metrics Analysis
Reporting Skills
Collaboration with Engineering and DevOps Teams
Documentation of Best Practices
Analytical Mindset
Problem-Solving Skills

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 projects or experiences that demonstrate your analytical mindset and ability to provide actionable insights.

Showcase Technical Skills: Clearly outline your proficiency in Kusto Query Language (KQL), PowerShell, and Python. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.

Highlight Team Collaboration: Since the role involves working closely with engineering, DevOps, and customer support teams, mention any past experiences where you successfully collaborated with cross-functional teams to resolve incidents or improve system performance.

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 implemented Azure Monitor, Application Insights, or Log Analytics, and how these tools helped improve system performance.

✨Demonstrate Your Analytical Skills

Prepare to share 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

Since the role involves working closely with engineering, DevOps, and customer support teams, be ready to talk about your experience in collaborative environments. Share instances where teamwork led to quick incident resolution or improved processes.

✨Discuss Your Approach to Monitoring

Be prepared to explain your strategies for monitoring and incident detection. Talk about how you set up automated alerts and synthetic monitoring, and how these practices have helped you proactively identify and resolve issues in the past.

Cloud Data Analyst (m/f/d)
Reveal Media
R
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