Mid-Level Data Analyst – Observability and Telemetry (Digital Applications)
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Job Description
Structured overview of role & requirementsAbout This Role
Implement telemetry instrumentation for digital applications using OpenTelemetry to collect key metrics, logs, and traces.
Design, build, and maintain real-time operational dashboards and alerts in Splunk or ELK to monitor application performance and health.
Analyze telemetry data to identify performance issues and support incident investigations through root cause analysis in distributed systems.
Minimum Requirements
Bachelor’s degree in Computer Science, IT, Data Analytics, or related field, or equivalent experience.
3 to 5 years of professional experience in data analysis, systems monitoring, application support, SRE, or related technical role.
Minimum 1 year hands-on experience with OpenTelemetry or Global Cloud Observability frameworks (including tracing, metrics, logs).
At least 2 years experience using Splunk (SPL) or ELK stack (Elasticsearch, Logstash, Kibana) for dashboard and alert development.
Ideal Candidate Profile
Hands-on familiarity with microservices, REST APIs, event-driven architectures (e.g., Apache Kafka), and containerized/cloud infrastructure (Kubernetes, OpenShift).
Capable of troubleshooting distributed microservices architectures by correlating logs, metrics, and traces for performance optimization.
Able to collaborate effectively with engineering, DevOps, and SRE teams and communicate technical data to technical and non-technical stakeholders.