Mid-Level Data Analyst – Observability and Telemetry (Digital Applications)
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Job Description
Structured overview of role & requirementsAbout This Role
Implement and maintain telemetry instrumentation using OpenTelemetry and Global Cloud Observability frameworks for digital applications.
Develop and manage real-time dashboards and alerting systems using enterprise platforms like Splunk or ELK Stack to monitor application health and performance.
Analyze telemetry data to detect performance issues and assist in incident support through root cause analysis and collaboration with SRE and development teams.
Minimum Requirements
Bachelor’s degree in Computer Science, IT, Data Analytics, or related field (or equivalent practical experience).
3 to 5 years of professional experience in data analysis, systems monitoring, application support, or Site Reliability Engineering (SRE).
At least 1 year hands-on experience with OpenTelemetry (OTel) or Global Cloud Observability frameworks involving tracing, metrics, and logs.
Minimum 2 years hands-on experience with Splunk (SPL) or ELK Stack (Elasticsearch, Logstash, Kibana) for dashboard and alert development.
Ideal Candidate Profile
Demonstrates strong technical ability in telemetry instrumentation and familiarity with distributed microservices architectures.
Experienced in troubleshooting complex system performance by correlating logs, metrics, and traces across cloud-native environments (e.g., Kubernetes, OpenShift).
Skilled in cross-functional collaboration with software engineers, DevOps, and SRE teams to ensure comprehensive monitoring and observability coverage.