Operations Data Analyst

We are looking for an Operations Data Analyst to support operational reporting, data quality and evidence-based decision-making within an international, mission-driven environment.

Working closely with operations, analytics and partnership teams, you will ensure the timely delivery of accurate and validated program data to support reporting commitments, partnership requirements and ad hoc analytical requests. You will work with data from institutional information systems and field sources, helping ensure consistency, reliability and transparency across reporting outputs.

This role combines strong technical expertise with cross-functional collaboration, requiring an analytical mindset, excellent organizational skills and the ability to translate complex datasets into meaningful insights.

Key responsibilities

• Data reporting and delivery: Maintain reporting schedules and coordinate the timely submission of validated program data to internal stakeholders and external partners.
• Data extraction and validation: Extract, consolidate and verify program data from multiple information systems and field sources, ensuring consistency with official reporting figures and published reports.
• Data quality and standards: Apply agreed indicator definitions and data disaggregation frameworks. Document data sources, methodologies, assumptions and limitations where relevant.
• Partnership support: Contribute to the review of partnership proposals and results frameworks, assessing their alignment with program priorities, indicator feasibility and data availability.
• Data protection and confidentiality: Ensure that all externally shared data complies with applicable data protection policies and confidentiality requirements.
• Stakeholder coordination: Act as a key point of contact for operational data and reporting requests, working closely with headquarters and field-based colleagues.
• Advanced analytics and data science: Support operational teams through tailored analytical solutions, advanced data processing and the development of data science applications.

Requirements

• University degree in data analytics, statistics, information management or a related discipline, or equivalent professional experience.
• 1–3 years of professional experience in data analysis, monitoring, reporting or a related field.
• Advanced proficiency in Microsoft Excel; working knowledge of Power BI is an advantage.
• Understanding of monitoring and reporting concepts, including output and outcome indicators, logical frameworks and data disaggregation.
• Intermediate Python skills, ideally including the integration of AI models into applications through APIs.
• Familiarity with applying AI models to large-scale data tasks, such as classification, information extraction and summarization.
• Excellent command of English, both written and spoken.
• Previous experience in an international, humanitarian or development context, or in donor reporting, is an asset.

Desired profile and competencies

• Strong analytical, organizational and problem-solving skills.
• Ability to communicate complex findings clearly through effective data storytelling.
• Excellent attention to detail and a strong commitment to data quality.
• Ability to work autonomously, prioritize tasks and deliver results within deadlines.
• Strong communication and active listening skills.
• Experience collaborating with multicultural and multidisciplinary stakeholders.
• A collaborative, proactive and solutions-oriented approach.
• Genuine interest in humanitarian action and the use of data to support operational impact.