We are seeking an experienced Operations Analytics Lead to support IT operations, operational analytics, observability, and KPI/SLA performance reporting across enterprise technology environments.
The ideal candidate will have strong hands‑on experience with Splunk, log analysis, monitoring, and root‑cause analysis, along with the ability to track operational performance metrics, coordinate issue resolution, and collaborate with cross‑functional technical teams.
Key Responsibilities
- Define, collect, validate, analyze, and report KPIs, OKRs, SLAs, and SLOs.
- Develop and maintain Splunk searches, dashboards, alerts, and operational reports.
- Analyze application and system logs to identify errors, performance issues, recurring incidents, and service degradation.
- Monitor operational performance and support troubleshooting and root‑cause analysis.
- Manage DevOps issue and defect lifecycles, including triage, prioritization, backlog tracking, escalations, and resolution reporting.
- Support observability and performance monitoring using tools such as Dynatrace, Power BI, and Excel.
- Coordinate with application, infrastructure, DevOps, and business teams to resolve operational issues.
- Use Python, Shell/Bash, or other scripting technologies to automate reporting, data collection, and routine operational tasks.
- Maintain operational documentation, reporting standards, and incident follow‑up procedures.
Required Qualifications
- Bachelor's degree in a related discipline and 8+ years of relevant experience.
- Experience in IT operations, systems or application administration, operational analytics, or enterprise technology support.
- Experience defining, validating, analyzing, and reporting KPIs, OKRs, SLAs, or SLOs.
- Hands‑on experience with Splunk Enterprise, including SPL searches, dashboards, alerts, log ingestion, field extraction, and data normalization.
- Strong experience in log analysis, monitoring, alerting, troubleshooting, and root‑cause analysis.
- Experience managing DevOps issues and defects, including triage, prioritization, backlog management, escalations, release coordination, and resolution reporting.
- Familiarity with observability, performance monitoring, and operational reporting tools such as Dynatrace, Power BI, and Excel.
- Scripting experience with Python, Shell/Bash, or related automation technologies is preferred.
- Strong analytical, communication, and cross‑functional coordination skills.
Compensation
- $55–$60/hour (W-2)
- Final compensation within the posted range will depend on qualifications, experience, and interview outcomes.