OCCUVISTA

Operations Analyst

Monitoring and investigating operational performance across technology systems

Also known as:IT Operations AnalystSystems Operations AnalystOps AnalystService Operations Analyst
Stable

Operations Analyst Salary

United Kingdom

£28,000 – £50,000

United States

$50,000 – $82,000

Varies by location, sector, and experience. Last updated: 2025.

What Is an Operations Analyst?

An Operations Analyst monitors, investigates, and supports the day-to-day operational performance of technology systems and business processes — identifying issues, analysing data, and working with technical and operational teams to maintain service continuity and drive improvement. The role sits between frontline support and senior operations management, providing the analytical and investigative capability that translates raw operational data into meaningful insight and actionable response.

The discipline spans IT operations monitoring, incident data analysis, process performance reporting, and the operational coordination that keeps services running consistently. Operations Analysts work across managed service providers, financial services, utilities, logistics, and public sector organisations — any context where operational continuity depends on the ability to detect problems early, understand their causes, and coordinate effective responses. The role provides a broad foundation in operational practice and is a common stepping stone into specialist roles in service management, data analysis, or IT operations leadership.

What Does a Operations Analyst Do?

  • Monitor technology systems, service dashboards, and operational data feeds for anomalies, alerts, and performance degradation
  • Investigate operational incidents by gathering data, identifying patterns, and coordinating with technical teams for resolution
  • Analyse operational performance metrics including availability, throughput, error rates, and SLA compliance for regular reporting
  • Identify recurring issues and contribute to problem management investigations through data analysis and trend identification
  • Support change and release processes by monitoring system behaviour during and after planned changes
  • Collaborate with service desk, infrastructure, and development teams on operational issues requiring cross-team coordination

Operations Analyst Skills

Hard Skills

  • IT Service Management
  • Incident Management
  • Performance Monitoring
  • Reporting and Visualisation
  • Data Analysis
  • Problem Management
  • ITIL Framework
  • Workflow Analysis
  • KPI Development
  • Troubleshooting and Diagnostics

Soft Skills

  • Analytical ThinkingTranslating operational data into actionable insight
  • Attention to DetailDetecting early signals of service degradation
  • CommunicationReporting findings to technical and operational leadership
  • Problem SolvingInvestigating root causes of recurring service issues
  • CollaborationCoordinating response across technical and operational teams
  • ProactivityIdentifying issues before they escalate to incidents

Operations Analyst Tools & Software

How to Become a Operations Analyst

Typical Route

Most entrants hold a bachelor's degree in Information Technology, Computer Science, Business, or Mathematics. Programs at the University of Maryland Global Campus, Arizona State University, and Western Governors University offer IT and business systems degrees suited to operational analysis roles. Community colleges offering associate degrees in Information Technology provide an accessible entry point, with many graduates moving into NOC or service desk analyst roles before progressing. SQL proficiency and monitoring platform knowledge are valued above further academic credentials.

Alternative Route

ITIL 4 Foundation certification is widely expected and provides the service management framework underpinning US incident and problem management processes, delivered by PeopleCert-accredited providers including Global Knowledge. Datadog and Splunk both offer structured learning pathways and platform certifications covering their monitoring tools. CompTIA CySA+ is relevant for security-focused operational contexts. SQL skills — built through Codecademy or LinkedIn Learning — are the single most impactful capability for progressing into analytical roles.

A Day in the Life of an Operations Analyst

Morning

Review overnight monitoring alerts across the service dashboard and escalate two unresolved storage performance warnings to the infrastructure team before the morning handover
Pull the previous week's SLA compliance data from the operations reporting tool and identify which three services missed their availability targets
Investigate a pattern of recurring timeout errors on the payment processing service by correlating application logs with network performance data from the same window

Afternoon

Update the operational runbook for the database failover procedure after last week's incident exposed a missing step in the verification sequence
Attend the problem management review and present trend analysis showing that 60% of P3 incidents in the past month share a common root cause
Monitor system behaviour during a planned network maintenance window and document any anomalies for the post-change assessment report

Operations Analyst Career Path

NOC Analyst / Junior Operations Analyst

0–2 yrs

→

Operations Analyst

2–4 yrs

→

Senior Operations Analyst

4–7 yrs

→

Operations Manager / IT Service Manager

7–10 yrs

→

Head of Operations / Director of IT Operations

10+ yrs

Operations Analyst Job Outlook

Stable

Operations analysis is a consistent discipline where service continuity requires dedicated monitoring capability. Demand tracks organisational scale rather than growing independently. AIOps — applying AI to operational data for anomaly detection and incident correlation — is increasing rather than reducing demand for practitioners who can interpret and improve those outputs. Practitioners combining monitoring platform proficiency with SQL-driven analytical capability are better positioned as operations shifts toward proactive, data-informed management.

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