Operational Analytics Lead
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Role details
Tech stack
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Requirements
Seeking an experienced Operational Analytics Lead to drive operational monitoring, analytics, KPI/OKR reporting, observability, incident management, and automation across enterprise applications. The ideal candidate will have strong expertise in Splunk, monitoring tools, dashboard reporting, root cause analysis, and IT operations, with the ability to work across infrastructure, application, and business teams to improve system performance, reliability, and operational efficiency.
Keywords:
Splunk, SPL, Dynatrace, Operational Analytics, Observability, KPI, OKR, Power BI, Linux, Windows, Python, Bash, DevOps, ServiceNow, Jira, Monitoring, Incident Management, Root Cause Analysis, Dashboard Development, Automation, SRE.
Mandatory Skills
Splunk Enterprise (SPL, Dashboards, Alerts, Log Analysis)
KPI/OKR, SLA/SLO Reporting
Operational Analytics & Monitoring
Root Cause Analysis & Troubleshooting
Observability Tools (Dynatrace, Grafana, Prometheus, ELK, AppDynamics)
Power BI & Dashboard Development
Linux/Unix & Windows Administration
Python, Shell/Bash Scripting
Incident, Problem & Change Management
ServiceNow & Jira
REST APIs, JSON, Integration Technologies
DevOps Issue & Defect Management
Strong Stakeholder Management & Communication
Nice to Have:
Dynatrace, * Splunk: 8 years (Preferred)
- SPL: 8 years (Preferred)
- Dynatrace: 8 years (Preferred)
- Operational analysis: 8 years (Preferred)
- Observability: 8 years (Preferred)
- OKR: 8 years (Preferred)
- Power BI: 8 years (Preferred)
- Linux, Windows, Python, Bash, DevOps, ServiceNow: 8 years (Preferred)
- Jira, Monitoring, Incident Management, Root Cause Analysis: 8 years (Preferred)
- Dashboard Development, Automation, SRE: 8 years (Preferred)
- MuleSoft, JBoss, Twilio, OpenTelemetry: 8 years (Preferred)
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Prepare application
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- Open in Claude
- Open in ChatGPT
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