Senior Specialist, Enterprise Analytics (Cost Optimization Initiative) [Part-time]

Overview

Provide analytical leadership and data-driven insights to support the organization-wide Cost Optimisation Initiative. The role will enable evidence-based decision-making by developing analytical frameworks, comparative models, cost efficiency reporting, dashboards, and operational intelligence capabilities.

Key Responsibilities

• Build analytical models and frameworks to identify, size, and track cost efficiency opportunities.
• Support development of cost baselines, metrics, benchmarking analysis, and efficiency performance indicators.
• Design and maintain enterprise-level dashboards and reporting frameworks for transformation performance monitoring.
• Translate complex datasets into clear, actionable insights for senior leadership.
• Support establishment of analytical standards, methodologies, and governance frameworks for transformation reporting.
• Identify and evaluate opportunities to leverage AI, automation, predictive analytics, and intelligent reporting solutions.
• Support development of enterprise-wide metrics and KPI frameworks aligned to Cost Optimisation objectives.
• Partner with Global Functional Teams, Country Offices, Finance, and Operations to understand analytical and reporting requirements.
• Contribute analytical inputs and decision-support materials to business case development, initiative prioritisation, and implementation planning.
• Foster adoption and use of analytical outputs across the organisation, promoting data-driven decision-making.

Required Experience

Significant progressive experience in enterprise analytics, business intelligence, financial analysis, or transformation reporting. Strong experience supporting large-scale transformation, operational efficiency, or organisational redesign initiatives. Demonstrated expertise across data analysis and interpretation, enterprise reporting, dashboard development, financial and operational analytics, KPI development, comparative and trend analysis, and benefits realisation tracking. Strong experience working with enterprise systems and large, complex datasets. Strong understanding of organisational cost structures, operational performance metrics, programme support cost management, and transformation monitoring. Proven ability to translate complex data into clear, actionable business recommendations. Strong problem-solving, critical thinking, and analytical reasoning capability. Experience leveraging AI, automation, predictive analytics, machine learning techniques, or advanced reporting capabilities. Experience working within complex INGOs, multinational organisations, or matrixed global environments.

Qualifications

Bachelor’s degree in data Analytics, Statistics, Economics, Finance, Information Systems, Business Analytics, Mathematics, or related field. Master’s degree in Analytics, Data Science, Business Intelligence, Finance, or related discipline is an added advantage.

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