Operations Analytics Lead

About the Job

Role: Operations Analytics Lead

Location: Albany, NY (Hybrid)

Employment Type: Contract

Duration: 9+ Months

About the Role

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.