National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Cloud Monitoring & Data Analyst

JR United Kingdom
London
5 days ago
Create job alert

Social network you want to login/join with:
At Reveal, passion meets purpose. 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. With an influence now spanning over 40 countries, our mission to make a positive impact continues to gain momentum.
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
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 highl level of service to customers.
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.
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
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).
Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel)
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
This job description is not intended to be an exhaustive list of duties and responsibilities. You may be expected to perform different tasks as the needs of the business and your role evolve. Your job description will be reviewed and updated accordingly.
Joining Reveal Media isn't just about taking on a job—it's about being part of a family that champions change. We combine our 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, we ensure that while you're taking care of our mission, we're taking care of you.
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.
Time for You : We value your personal time. That’s why we aim to finish work at 2pm on Fridays.
Better Working : We embrace hybrid working and, where it is operationally practicable, we support employees splitting their working time between the office and home.
Pension: Plan for tomorrow with our pension scheme via NEST.
Our Green Initiatives
Our commitment to a greener future isn’t just words – we take it seriously. 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 believe in investing in companies working towards a cleaner and greener future and we also reward any employee who uses or switches to using green energy …… because every step, big or small, contributes to significant change.
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.

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Analyst

Data Analyst

Data Analyst

Data Science & Analytics Team Lead

Senior Data Engineer (SC Cleared)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.