Senior Analyst- Capacity Planning & Performance Analytics
- أبو ظبي
- دائم
- دوام كامل
- To ensure that the IT infrastructure and application environments are right-sized and proactively scaled to meet current and future business demand.
- To analyse and report on system performance trends, utilisation patterns, and workload forecasts across compute, storage, network, and application layers.
- To support strategic investment planning and operational readiness by identifying capacity risks, inefficiencies, and optimisation opportunities.
- To enable a data-driven approach to resource planning, cost control, and service resilience.
- Monitor and analyse system and application performance data to identify utilisation trends and capacity constraints.
- Forecast resource requirements based on historical trends, business growth projections, seasonal patterns, and planned changes.
- Support project and release planning by providing performance impact assessments and capacity risk analysis.
- Contribute to cost optimisation efforts by identifying over-provisioned resources and underutilised assets.
- Maintain performance models for core systems and review them regularly with architecture and engineering teams.
- Develop and refine KPIs and SLIs that measure capacity headroom, saturation risk, and performance thresholds.
- Maintain documentation on capacity thresholds, utilisation baselines, and forecasting assumptions.
- Collaborate with application owners, infrastructure leads, and finance teams to align technical capacity plans with business budgets.
- Support post-incident reviews by analysing whether resource saturation contributed to outages or performance degradation.
- Ensure capacity planning processes are embedded in change management, release planning, and IT strategy reviews.
- Participate in annual budget planning and infrastructure lifecycle management by supplying data-driven recommendations.
- Stay updated with evolving technologies and tools in performance analytics and capacity forecasting.
- Strong experience with capacity planning and forecasting tools (e.g., Turbonomic, BMC TrueSight, VMware vRealize, AWS/Azure native tools, custom Grafana/Prometheus dashboards).
- Understanding of statistical and ML-based forecasting models, including trend extrapolation and seasonality analysis.
- Familiar with system performance KPIs such as CPU/RAM/disk utilisation, thread pool sizing, IOPS, database latency, and transaction throughput.
- Proficiency in using data tools (Excel PowerPivot, Python, R, SQL) for large-scale data modelling and predictive analysis.
- Effective communicator who can present technical capacity models to both engineering and business stakeholders.
- Structured and methodical, capable of producing formal analysis and risk reports.