Job Opportunity: Data Analyst (Cloud Focus) – Advanced
Our client in the motoring industry is seeking an experienced and forward-thinking Data Analyst (Cloud Focus) to join a high-impact team supporting cloud operations at a global level. This is a rare opportunity to work in a cloud-first environment, supporting cutting-edge infrastructure on both AWS and Azure, while driving value through actionable insights, data visualization, and advanced monitoring solutions.
You’ll be part of a Cloud Control Center responsible for ensuring the health, performance, and visibility of the client's public cloud environments. If you are passionate about data-driven decision making, thrive in a DevOps culture, and want to work in a fast-paced, global team—this role is for you.
Design and develop AI-driven solutions for monitoring, dashboarding, and alerting within AWS and Azure environments.
Deliver clear, visual, and dynamic reporting solutions using tools such as AWS QuickSight.
Build and maintain dashboards, health monitors, and alerts to support global stakeholders.
Design, develop, and maintain data flows and ETL pipelines to enable seamless reporting and analytics.
Support and evolve existing solutions within a DevOps model, aligned to Agile (Scrum) practices.
Engage in proactive knowledge sharing and collaborate with cross-functional teams globally.
Contribute to incident, change, and problem management processes within the cloud space.
Provide occasional 24/7 standby support for cloud-related incidents (rotational basis).
Travel internationally up to 2 weeks at a time, when required.
3+ years of experience in BI, data visualization, and database systems.
Strong skills in data analysis, report development, and ETL workflows.
Proficiency in AWS or Azure (minimum 2 years).
Hands-on with Python scripting and automation of tasks.
Experience designing dashboards and alerting mechanisms.
Solid understanding of relational databases and UX design for reports.
Familiarity with ITIL processes (incident, change, problem management).
Bachelor’s degree in Computer Science or equivalent qualification.
Experience in Agile methodologies (Scrum).
Familiarity with REST APIs, container technologies (Docker), and serverless (AWS Lambda, Azure Functions).
Exposure to streaming platforms like Kafka or MQTT.
Experience with tools like Dynatrace, Splunk, Prometheus, Grafana.
Understanding of AI applications and modern cloud architectures.
Proficiency in working with JSON, YAML, and other common data formats.
Excellent communication skills, interpersonal ability, and stakeholder engagement.
A self-starter with the ability to coach peers and contribute beyond your job scope.
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