Senior Analyst- Capacity Planning & Performance Analytics

First Abu Dhabi Bank; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading financial institution in Abu Dhabi seeks a Capacity Planning Analyst to monitor and analyse system performance, forecast resource requirements, and contribute to cost optimisation. The ideal candidate has strong experience with forecasting tools and system performance KPIs, alongside effective communication skills to present technical models to stakeholders.

Qualifications

• Strong experience with capacity planning and forecasting tools.
• Understanding of statistical and ML-based forecasting models.
• Familiar with system performance KPIs like CPU/RAM/disk utilisation.

Responsibilities

• Monitor and analyse system and application performance data.
• Forecast resource requirements based on historical trends.
• Contribute to cost optimisation efforts by identifying over-provisioned resources.

Skills

Capacity planning and forecasting

Statistical and ML-based forecasting models

System performance KPIs

Data tools proficiency

Effective communication

Tools

Turbonomic

BMC TrueSight

VMware vRealize

AWS/Azure tools

Excel PowerPivot

Python

R

SQL

Job description

Overview

Company Description

Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.

Overview

Overall objectives

• 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.

Role specific responsibilities

• 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.

General functional responsibilities

• 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.

Qualifications

• Core competencies required

• 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.