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

Save the Children is seeking a Senior Specialist, Enterprise Analytics on a part-time basis to support the Cost Optimization Initiative. This role is focused on driving organizational efficiency through the design of analytics models, performance indicators, and data-driven solutions.

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, Finance, and Operations to understand analytical and reporting requirements, facilitating collaborative review of assumptions, metrics, and outputs and presenting findings and recommendations to senior management and transformation governance forums.
• Support Business Cases, Initiative Prioritisation, and Benefits Tracking: Contribute analytical inputs and decision-support materials to business case development, initiative prioritisation, and implementation planning, supporting benefits tracking and realisation monitoring throughout the transformation lifecycle and identifying emerging risks and performance issues through analytical insights.
• Promote a Data-Driven Culture and Evidence-Based Decision-Making: Foster adoption and use of analytical outputs across the organisation, promoting data-driven decision-making and contributing to continuous improvement of transformation reporting and analytical processes in support of the broader Cost Optimisation initiative.

Experience and Skills

Essential

• Significant progressive experience in enterprise analytics, business intelligence, financial analysis, or transformation reporting, with a demonstrated track record of delivering high-quality analytical outputs in complex, fast-moving organisational environments.
• Strong experience supporting large-scale transformation, operational efficiency, or organisational redesign initiatives, including direct contribution to cost analysis, efficiency tracking, benefits realisation monitoring, and performance reporting across multiple functions or geographies.
• 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 — with the ability to apply these capabilities in an integrated and coherent analytical framework.
• Strong experience working with enterprise systems and large, complex datasets, consolidating and harmonising data from multiple operational and financial sources to produce accurate, consistent, and governance-ready analytical outputs.
• Strong understanding of organisational cost structures, operational performance metrics, programme support cost management, and transformation monitoring, including familiarity with cost allocation methodologies and efficiency performance frameworks in global organisational contexts.
• Proven ability to translate complex data into clear, actionable business recommendations, with strong stakeholder management and communication skills and demonstrated ability to influence senior leaders and non-technical audiences through analytics.
• Strong problem-solving, critical thinking, and analytical reasoning capability, with proven ability to work effectively within highly ambiguous, politically sensitive, and fast-evolving transformation environments while maintaining rigour and output quality.
• Experience leveraging AI, automation, predictive analytics, machine learning techniques, or advanced reporting capabilities to improve operational efficiency, forecasting accuracy, or analytical workflow automation.
• Experience working within complex INGOs, multinational organisations, or matrixed global environments, with direct exposure to Country Office operations, donor compliance environments, or programme support cost structures.

Desirable

• Formal certification or practical knowledge of Lean Six Sigma, continuous improvement, or operational excellence methodologies as applied to analytical process design or performance management.

Education and Qualifications

Essential

• Bachelor’s degree in Data Analytics, Statistics, Economics, Finance, Information Systems, Business Analytics, Mathematics, or a related field.

Desirable

• Master’s degree in Analytics, Data Science, Business Intelligence, Finance, or related discipline is an added advantage.