Save the Children International is hiring a Senior Enterprise Analytics Specialist for its Cost Optimisation Initiative, offering an 18-month, part-time opportunity for an experienced analytics, business intelligence, financial analysis, or transformation reporting professional. The role is global and can be based at an approved Save the Children International office location, with hybrid, remote, and flexible working options available. The successful candidate will provide analytical leadership, develop enterprise dashboards and cost-efficiency models, support AI-enabled analytics, and help senior leaders make evidence-based decisions that improve organisational performance.
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Why This Opportunity Matters
The Senior Enterprise Analytics Specialist role is an opportunity to contribute to a major organisation-wide initiative focused on improving sustainability, strengthening value for money, and ensuring that more resources are available for children and programme delivery.
Save the Children International is working to build a simpler, smarter, and more efficient organisation. The Cost Optimisation Initiative is designed to identify opportunities to improve efficiency while protecting the organisation's ability to deliver meaningful programmes and services to children around the world.
For the successful candidate, this is more than a standard data analytics position. The role sits at the intersection of enterprise analytics, financial analysis, organisational transformation, operational efficiency, and advanced technology.
The Senior Enterprise Analyst will help turn complex information from different parts of the organisation into clear insights that can guide important decisions. This includes analysing data from Country Offices, global teams, financial systems, operational sources, and other enterprise platforms.
The role will also support the development of cost baselines, performance indicators, comparative models, dashboards, and reporting frameworks. These tools will help the organisation understand where efficiency opportunities exist, measure progress, and track whether expected benefits are being achieved.
The position also provides an opportunity to contribute to the use of artificial intelligence, automation, predictive analytics, and intelligent reporting. As organisations increasingly rely on data to improve efficiency and make faster decisions, experience in these areas can provide valuable professional growth.
The position is global in scope and involves working with colleagues across multiple functions and geographies. This makes it particularly relevant for professionals who enjoy working in complex, international, and collaborative environments.
About Save the Children International
Save the Children International is a global organisation focused on improving the lives of children. The organisation employs approximately 25,000 staff and works across 116 countries, prioritising children who are among the most deprived and marginalised.
Its work focuses on saving children's lives, fighting for their rights, and helping them fulfil their potential. The organisation's global work brings together professionals from different backgrounds, disciplines, and countries.
The Senior Enterprise Analytics Specialist will join a team supporting an important organisational transformation initiative. The role will work closely with the Senior Project Lead, Senior Finance Specialist, Senior Business Analyst, Global Functional Teams, and Country Offices.
The successful candidate will be expected to contribute to a collaborative working environment where data, evidence, and analysis support better decision-making. The role also requires the ability to work with senior stakeholders and communicate complex information clearly to both technical and non-technical audiences.
Save the Children states that it values ambition, creativity, integrity, collaboration, and inclusion. The organisation is also committed to diversity, equity, inclusion, and equal employment opportunities.
Candidates from underrepresented groups are encouraged to apply. Reasonable adjustments will be made for candidates invited to interview who require them.
Senior Enterprise Analytics Specialist Job List
The Senior Enterprise Analytics Specialist will have a broad range of responsibilities connected to the Cost Optimisation Initiative. The role requires strong analytical skills, business understanding, communication ability, and experience working with complex datasets and organisational transformation programmes.
Develop Enterprise Analytics Models and Cost Optimisation Frameworks
The successful candidate will build analytical models and frameworks to identify, measure, and track cost-efficiency opportunities.
This will involve comparative analysis across Country Offices, Global Teams, and different organisational functions. The role will examine trends, variances, staffing information, programme support costs, operational cost drivers, and levels-of-effort data to identify potential opportunities for improvement.
The analyst will help ensure that cost optimisation decisions are supported by consistent analytical methods and reliable evidence.
Establish Cost Baselines and Efficiency Performance Indicators
The role will support the development of cost baselines, benchmarking analysis, metrics, and efficiency performance indicators.
The successful candidate will generate data-driven insights to support strategic decision-making and help prioritise transformation initiatives. This may include scenario modelling and sensitivity analysis related to organisational redesign and other major changes.
The ability to understand how different assumptions can affect organisational outcomes will be important in this area of the role.
Design and Maintain Enterprise Dashboards and Reporting Frameworks
The Senior Enterprise Analytics Specialist will design and maintain enterprise-level dashboards and reporting frameworks for monitoring transformation performance.
The role will also involve developing executive reporting packs and visualisation tools for leadership and governance forums.
A key responsibility will be ensuring that transformation reporting remains consistent, accurate, reliable, and understandable across different functions and geographical locations.
Translate Complex Data into Actionable Insights
One of the most important parts of the role will be turning complex datasets into clear and practical recommendations.
The successful candidate will support real-time monitoring of the Cost Optimisation Initiative, implementation progress, and benefits realisation.
They will also work with other functions to simplify reporting processes, improve access to data, and help senior stakeholders understand what the information means for organisational performance and decision-making.
Ensure Analytical Governance and Data Quality
The role will support the development of analytical standards, methodologies, and governance frameworks for transformation reporting.
The successful candidate will be responsible for helping ensure that data from multiple enterprise systems and operational sources is accurate, consistent, and properly validated.
They will also identify data gaps, inconsistencies, and reporting risks, while recommending appropriate actions to address these challenges.
Drive AI, Automation, and Advanced Analytics
The position will contribute to identifying opportunities to use AI, automation, predictive analytics, and intelligent reporting to improve operational efficiency.
The successful candidate may support the development of automated analytical workflows and work with colleagues to create scalable, future-focused analytical capabilities.
This part of the role is particularly relevant for professionals who understand how advanced technologies can improve reporting, forecasting, monitoring, and decision support.
Build KPI and Metrics Frameworks
The Senior Enterprise Analytics Specialist will support the development of organisation-wide KPI and metrics frameworks aligned with Cost Optimisation objectives.
The role will contribute to performance monitoring tools that enable the organisation to consistently track efficiency delivery and organisational performance at scale.
Work with Global Teams and Country Offices
The role will involve close collaboration with Global Functional Teams, Country Offices, Finance, and Operations.
The successful candidate will help understand analytical and reporting requirements, review assumptions and metrics, and present findings and recommendations to senior management and transformation governance forums.
Strong communication and stakeholder management skills will therefore be important.
Support Business Cases and Benefits Tracking
The successful candidate will contribute analytical information and decision-support materials for business cases, initiative prioritisation, and implementation planning.
The role will also support benefits tracking and realisation monitoring throughout the transformation lifecycle.
Through analysis, the Senior Enterprise Analytics Specialist will help identify emerging risks, performance issues, and opportunities for improvement.
Promote Data-Driven Decision-Making
The role will help encourage the use of analytical outputs across the organisation.
The successful candidate will contribute to a stronger data-driven culture by supporting evidence-based decision-making and continuously improving transformation reporting and analytical processes.
Experience and Skills Required
Applicants should have significant progressive experience in enterprise analytics, business intelligence, financial analysis, or transformation reporting.
Experience supporting large-scale transformation, operational efficiency, or organisational redesign initiatives is essential. Candidates should have experience contributing to cost analysis, efficiency tracking, benefits realisation monitoring, and performance reporting across multiple functions or geographical areas.
The role requires strong skills in data analysis and interpretation, enterprise reporting, dashboard development, financial and operational analytics, KPI development, comparative analysis, trend analysis, and benefits realisation tracking.
Applicants should also have experience working with large and complex datasets and consolidating information from multiple financial and operational sources.
A strong understanding of organisational cost structures, operational performance metrics, programme support cost management, transformation monitoring, and cost allocation methodologies will be valuable.
The successful candidate must be able to translate complex information into clear business recommendations. Strong communication and stakeholder management skills are required, particularly when working with senior leaders and non-technical audiences.
Candidates should demonstrate strong problem-solving, critical thinking, and analytical reasoning abilities. The role may involve working in ambiguous, politically sensitive, and fast-changing transformation environments.
Experience with AI, automation, predictive analytics, machine learning techniques, or advanced reporting capabilities is also required.
Experience working in complex international non-governmental organisations, multinational organisations, or matrixed global environments is highly relevant. Exposure to Country Office operations, donor compliance environments, or programme support cost structures will also be valuable.
Knowledge or certification in Lean Six Sigma, continuous improvement, or operational excellence is desirable.
Education and Qualifications
Applicants must have a bachelor's degree in Data Analytics, Statistics, Economics, Finance, Information Systems, Business Analytics, Mathematics, or a related field.
A master's degree in Analytics, Data Science, Business Intelligence, Finance, or a related discipline is an added advantage.
Key Role Details
- Job Title: Senior Specialist, Enterprise Analytics – Cost Optimization Initiative
- Reports To: Senior Project Lead – Cost Optimization Initiative
- Work Pattern: Hybrid or remote, with flexible working options available
- Location: Any approved Save the Children International office location
- Required Time Zone: Any
- Contract Length: Fixed-term contract of 18 months at 50% level of effort
- Remit: Global
- Language Requirement: English
- International Travel: Up to 10%
- Right to Work: Candidates must have the right to work in the country where the role is based for the duration of employment
How to Apply
To apply for the Senior Enterprise Analytics Specialist position, candidates should attach a copy of their CV and cover letter with their application.
A full copy of the role profile is available through the Save the Children International careers application process. Candidates are advised to save a copy of the role profile because it may no longer be available after the advert closes.
Applications are reviewed on a rolling basis, and the job advert may close earlier than advertised depending on the number of suitable applications received. Candidates are therefore encouraged to submit their applications as early as possible.
The recruitment process begins with an application review based on the candidate's CV and cover letter.
Shortlisted candidates should expect a two-stage competency-based interview process with the hiring team. Depending on the position and recruitment process, an additional assessment, case study, or third-stage interview may be included.
Successful candidates will receive a conditional offer of employment, followed by a contract subject to the successful completion of background checks.
Save the Children maintains rigorous safeguarding procedures to help protect children and adults from abuse. The selection process includes background checks, and employees are expected to follow the organisation's Code of Conduct and policies relating to safeguarding, anti-harassment, health and safety, diversity, equity and inclusion, and equal opportunities.
Save the Children does not charge applicants a fee at any stage of the recruitment process. Job seekers should be cautious of anyone who asks for money or other favours in exchange for employment or assistance with the recruitment process.
Common Mistakes to Avoid
One of the biggest mistakes applicants can make is submitting a generic CV that does not clearly demonstrate experience relevant to enterprise analytics, business intelligence, financial analysis, or organisational transformation.
Because this role has a strong focus on cost optimisation and performance reporting, applicants should ensure their CV clearly presents relevant experience rather than simply listing software tools or general data responsibilities.
Another mistake is failing to show how analytical work has supported real business or organisational decisions. Candidates should clearly demonstrate their ability to move from data collection and analysis to practical recommendations and measurable outcomes.
Applicants should also avoid underestimating the importance of stakeholder communication. This is not a role focused only on working with data in isolation. The successful candidate will work with senior leaders, finance teams, global functions, operations teams, and Country Offices.
Failing to explain complex information clearly could therefore weaken an otherwise strong application.
Candidates should also avoid overlooking the transformation element of the position. Experience with organisational redesign, efficiency programmes, benefits realisation, performance monitoring, or large-scale change should be clearly highlighted where relevant.
Another common mistake is submitting a CV and cover letter with errors, inconsistent information, or unclear formatting. Since the application will initially be reviewed based on these documents, candidates should ensure that their application is accurate, easy to read, and relevant to the role.
Applicants should also carefully confirm that they meet the education and experience requirements before applying.
Finally, candidates should not wait until the final moment to submit their application. Since applications are reviewed on a rolling basis and the advert may close earlier depending on the number of suitable applicants, early submission is important.
Salary, Benefits & Career Growth
The salary for this position is not provided in the available job information, so applicants should refer to the official employment terms provided during the recruitment process.
Although the role is part-time at 50% level of effort and is offered on an 18-month fixed-term contract, it provides exposure to a major global transformation initiative.
The successful candidate will work across enterprise analytics, financial and operational performance, cost optimisation, organisational transformation, AI-enabled analytics, automation, and executive reporting.
This combination can provide valuable professional experience for someone seeking to grow into senior roles in enterprise analytics, business intelligence, transformation management, financial analysis, operational excellence, or data-driven strategy.
The role also offers the opportunity to work with global teams and Country Offices in a complex international organisation. This type of experience can strengthen a professional's understanding of how data, finance, operations, and organisational performance connect across different functions and locations.
Another important benefit is the opportunity to contribute to the development of advanced analytical capabilities. Experience with AI, automation, predictive intelligence, dashboards, KPI frameworks, and enterprise reporting can be valuable as organisations continue to increase their reliance on data and technology.
Beyond technical development, the role can help strengthen leadership, communication, stakeholder management, and strategic decision-making skills.
Working on a global Cost Optimisation Initiative also means that the successful candidate's work may influence how resources are managed and how organisational efficiency is improved. In an organisation focused on helping children survive, learn, and be protected, this work can contribute to the broader goal of ensuring that resources are used as effectively as possible.
For qualified professionals with strong analytical experience and an interest in organisational transformation, this Senior Enterprise Analytics Specialist opportunity offers a chance to work on a complex, global initiative while contributing to the mission of Save the Children International.
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