Mid-Level Data Analyst – Observability and Telemetry (Digital Applications)

We are seeking a highly analytical and detail-oriented Mid-Level Data Analyst – Observability & Telemetry to join our Digital Applications team. In this role, you will be responsible for monitoring, analyzing, and optimizing the performance, reliability, and health of our customer-facing digital applications using advanced telemetry frameworks.

• Assist application teams in instrumenting digital applications with OpenTelemetry (OTel) APIs, SDKs, and auto-instrumentation agents to collect high-quality metrics, logs, and traces.
• Design, build, and maintain real-time operational dashboards and visualization tools in Splunk or ELK (Kibana) to monitor application health and key performance indicators.
• Analyze large volumes of telemetry data to identify performance trends, system bottlenecks, latency issues, and operational anomalies across distributed systems.
• Support production support and SRE teams during incident investigations by utilizing distributed tracing and log correlation to perform rapid root cause analysis.
• Ensure telemetry data is clean, structured, and compliant with enterprise logging standards and data retention policies.

• 5+ years in an Apps Development role or related technical experience
• Experience in running high traffic, distributed, cloud-based services
• Strong analytical and quantitative skills
• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field (or equivalent practical experience)