Senior Specialist, Enterprise Analytics (Cost Optimization Initiative)
Job Description
Principal Accountabilities Develop Enterprise Analytics Models and Cost Optimisation Framework: Build analytical models and frameworks to identify, size, and track cost efficiency opportunities, conducting comparative analysis across Country Offices, Global Teams, and functions to surface trends, variances, and optimisation opportunities informed by staffing, PSC, operational cost drivers, and levels of effort data. Establish Cost Baselines and Efficiency Performance Indicators: Support development of cost baselines, metrics, benchmarking analysis, and efficiency performance indicators, generating data-driven insights to inform strategic decision-making and the prioritisation of transformation initiatives including scenario modelling and sensitivity analysis for organisational redesign. Design and Maintain Enterprise Dashboards and Reporting Frameworks: Design and maintain enterprise-level dashboards and reporting frameworks for transformation performance monitoring, developing executive reporting packs and visualisation tools for leadership and governance forums and ensuring consistency, integrity, and quality of transformation reporting across functions and geographies. Translate Complex Data into Actionable Insights for Senior Stakeholders: Translate complex datasets into clear, actionable insights for senior leadership, supporting real-time monitoring of the Cost Optimisation Initiative, implementation progress, and benefits realisation, and partnering with other functions to streamline reporting processes and improve data accessibility. Ensure Analytical Governance and Data Quality: Support establishment of analytical standards, methodologies, and governance frameworks for transformation reporting, ensuring accuracy, consistency, and validation of data drawn from multiple enterprise systems and operational sources, and identifying data gaps, inconsistencies, and reporting risks with recommended mitigation actions. Drive AI, Automation, and Advanced Analytics Enablement: Identify and evaluate opportunities to leverage AI, automation, predictive analytics, and intelligent reporting solutions to improve operational efficiency, supporting development of automated analytical workflows and partnering with others to build scalable future-state analytical capabilities. Build KPI and Metrics Frameworks: Support development of enterprise-wide metrics and KPI frameworks aligned to Cost Optimisation objectives, contributing to the design of performance monitoring tools that enable the organisation to track and report on efficiency delivery and organisational performance consistently and at scale. Partner with Global Teams and Country Offices on Analytical Needs: Partner with Global Functional Teams, Country Offices, and other stakeholders to understand analytical needs, provide ad-hoc analysis, and support decision-making processes with data-driven insights.
Requirements
BA/BSc/HND or MBA/MSc/MA in a relevant field (e.g., Data Science, Business Analytics, Finance, Economics, or related disciplines); 5+ years of experience in enterprise analytics, cost optimization, or related fields; experience in building analytical models and frameworks; proficiency in data visualization tools (e.g., Tableau, Power BI); strong skills in data analysis, benchmarking, and scenario modeling; experience with AI, automation, and predictive analytics; ability to translate complex data into actionable insights for senior stakeholders; experience in establishing analytical standards, methodologies, and governance frameworks; familiarity with enterprise systems and operational data sources; experience in developing KPI and metrics frameworks; ability to partner with cross-functional teams and present findings to senior management.
Posted
July 17th, 2026
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