Data Analyst (Global Data Hub) at SOS Children's Villages

Tasks and Responsibilities 

• Perform statistical analyses (e.g. regression, clustering, forecasting, hypothesis testing) using tools such as Power BI, Python, or R with openness to large-language methods 
• Translate analytical objectives into clear data requirements and collaborate with data engineers to access suitable datasets 
• Develop analytical frameworks, KPIs, and indicators to evaluate organizational and program performance 
• Interpret and clearly communicate findings through reports, dashboards, and executive summaries 
• Ensure data quality, validation, and consistency in all analytical outputs 
• Advise on analytical use cases and data structures within the Global Data Hub 
• Collaborate with Business Analysts to design advanced Power BI reports, including predictive and statistical elements 
• Collect, analyze, and document system and data requirements of English/French speaking Member Associations  
• Support and mentor colleagues in data literacy and interpretation of analytical results 
• Ensure compliance with data protection, security, and ethical data usage standards 
• Provide support and consulting to French- and English-speaking Member Associations to enable them to succeed in their data project and allow them get the most out of Global Data Hub 

Responsibilities to Uphold Safeguarding (standards) and Promote a Safe Environment 

As someone working for or on behalf of SOS Children’s Villages, you are responsible for helping to create and maintain a safe and protective environment for staff, as well as for the children, young people, and adult programme participants supported and cared for by SOS Children’s Villages. You are expected to: 

• Commit to the Code of Conduct and reflect on the safeguarding implications of your work on an ongoing basis. 
• Actively participate in team discussions to identify risks and share and apply preventative and mitigation measures and strategies.  
• Integrate safeguarding principles into your daily decisions and tasks. 
• Report any safeguarding concerns promptly and in line with procedures. 
• Promote values-based culture, accountability and zero tolerance of harm. 

Requirements 

• Master’s degree in Data Science, Statistics, Social Sciences, or a related field 
• 5–7+ years of experience in applied statistics or business analysis 
• Ability to analyze and understand business data requirements and translate them to technical requirements 
• Strong expertise in analytical tools and methods (Power BI, Python, R, Excel) 
• Proven experience in statistical modeling, forecasting, and segmentation 
• Excellent data visualization and storytelling skills 
• Strong understanding of data quality, metadata, and governance concepts 
• Fluent English and French (C1/C2) 
• Ability to explain complex analytical concepts to both technical and non-technical audiences 
• Ideally experience in non-profit contexts, including impact measurement, donor reporting 

Technical Skills 

• Strong expertise in analytical tools and methods (Power BI, Python, R, Excel) 
• Proven experience in statistical modeling, forecasting, and segmentation 
• Excellent data visualization and storytelling skills 
• Strong understanding of data quality, metadata, and governance concepts 

Other Skills and Competencies 

• Continuous learning 
• Initiative 
• Results orientation 
• Inclusiveness 
• Kindness 
• Openness to intercultural diversity 
• Strong communication and stakeholder management abilities 
• Attention to detail and critical thinking 
• Customer-oriented approach 
• Curiosity and a continuous learning mindset (desired) 
• Proactive problem-solving attitude (desired) 

Ways of working:    

• Global collaboration and communication – Working effectively across countries, cultures, and time zones by maintaining clear communication, transparency, and shared understanding within distributed teams.   
• Cross-functional collaboration – Working closely with colleagues across different functions and areas of expertise to combine knowledge, solve problems collectively, and deliver meaningful outcomes aligned with the organisation’s mission.   
• Effective collaboration within matrix structures – Working constructively within solid and dotted reporting lines by maintaining open communication, aligning priorities with both line and functional managers, and ensuring clarity on roles, responsibilities, and expectations to support coordinated delivery across teams.   
• Flexibility and adaptability – Remaining responsive to evolving contexts and adjusting priorities, approaches, and ways of collaboration as projects, services, or organisational demand evolve.   
• Ownership and accountability – Taking responsibility for advancing tasks and initiatives, proactively addressing obstacles, and ensuring that commitments, decisions, and actions are carried through to completion, taking initiative within your scope of responsibility rather than waiting for direction.   
• Strengthening member associations and their autonomy – Ensuring that knowledge, tools, and lessons from projects and services are shared with member associations so they can learn from the work carried out and progressively strengthen their capacity and independence.   
• Continuous feedback and transparency - Contributing to a culture where feedback and data are shared openly and constructively, enabling teams and stakeholders involved to reflect, learn, and continuously improve their work and impact.