BACKGROUND:

Mercy Corps is a leading global organization powered by the belief that a better world is possible. In disaster, in hardship, in more than 40 countries around the world, we partner to put bold solutions into action — helping people triumph over adversity and build stronger communities from within. Mercy Corps’ Sudan crisis response seeks to meet the humanitarian needs of vulnerable Sudanese and other conflict-affected people across the country. Mercy Corps Sudan is recognized as a leader in market systems, agricultural, and food security. Mercy Corps is scaling up to reach upwards of 300,000 conflict affected people with multi-purpose cash assistance, targeted voucher programs, in-kind and services provision across the country.
The Cash Consortium of Sudan (CCS) is a collaborative platform to advance a progressive vision of the potential of cash assistance to transform humanitarian response and recovery in partnership with vulnerable conflict-affected populations. CCS is led by Mercy Corps, building on its global experience and learning on leading cash consortia in multiple country contexts, as well as general expertise in cash coordination and breadth of technical resources. International partners include Acted, CARE, CORE, the International Rescue Committee (IRC), Concern, GOAL and the Norwegian Refugee Council (NRC), each of which bring strong cash and complementary technical competencies, as well as expansive operational coverage in Sudan. The CCS also includes twelve Sudanese NGOs as partners in alignment with global aid sector commitments to enhance the prominence of local actors in driving humanitarian response and recovery. IMPACT is a non-implementing partner dedicated to Monitoring, Evaluation, Research and Learning strengthening. IMPACT will support quality data systems, and an objective evidence base that will be essential to CCS’ accountability and adaptive management to refine programming approaches to enhance impact as the Sudan crisis context evolves. The CCS will work closely with other consortia and actors in Sudan to deliver an effective CVA response for communities affected by the crisis. The core pillars of the CCS response include: 1) basic needs through cash assistance both at the community level through Group Cash Transfers (GCTs) delivered to Community-Based Organizations (CBOs), as well as at the household-level through Multi-Purpose Cash Assistance (MPCA); 2) strengthening market systems to ensure resilience of key market actors and supply chains as well as strengthening the availability and affordability of key commodities; 3) strengthening capacity of local partner organizations with an emphasis on accompaniment and mentorship; and 4) generation of learning and evidence to inform broader response efforts.

REQUIRED EXPERIENCE & SKILLS:

• BA/S or equivalent in Data Science, Statistics, Computer Science, Economics, or a related field. Postgraduate degree in Data Science, Statistics, Public Policy, or related fields is strongly preferred.
• At least 5 years of professional experience in data analysis, with a minimum of 3 years working in humanitarian or development programming in complex, conflict-affected settings.
• Strong knowledge of statistics, including data analysis, modeling, and sampling techniques is essential.
• Advanced expertise in statistical and data analysis tools and platforms, including Power BI, R, Python, SPSS, Stata, and GIS software such as ArcGIS or QGIS for geo-statistical analysis. Experience with Python-based data workflows is required. Familiarity with machine learning libraries (e.g., TensorFlow, Scikit-learn) and database building tools (e.g., SQL, PostgreSQL) is highly desirable.
• Significant experience with data management systems such as CommCare, Microsoft Azure, and Kobo including integrating automated or machine learning techniques for deduplication and predictive modeling.
• Proven track record in managing data systems to support multi-stakeholder initiatives, ensuring accuracy, scalability, reliability, and practical applicability.
• Strong ability to develop clear, actionable insights and high-quality visualizations from complex datasets, focusing on demographic, economic, and programmatic needs.
• Deep understanding of humanitarian programming, particularly cash and voucher assistance (CVA), protection, and market-based interventions, including referral pathways is desirable.
• Fluency in written and spoken English and Arabic is required.
• Candidates must submit a sample portfolio of previous work (e.g., dashboards, data reports, code samples, visualizations) as part of their application.

The Senior Data Analyst will analyze data collected through regular MEL activities, assessments, or additional data collection processes to understand the needs of conflict-affected populations, strengthen evidence-based approaches, support the research agenda, and conduct exploratory data analysis that provides insights and guidance to program design and implementation teams. In addition to core MEL datasets, the Senior Data Analyst will also support the analysis and visualization of data produced outside of standard MEL processes—such as network coverage or access constraints—with the aim of progressively integrating additional data sources, including (at a later stage) insights from common systems related to financial service provider (FSP) performance and availability. Together with the Technical Lead on MEL Technologies, the Senior Data Analyst will support the constant improvement of the automated system, focusing on Azure Pipelines to improve visualization, accuracy of dashboards, and enhance near real-time data visualization for program results and data trends. This role will enhance advocacy and learning activities by producing evidence-based products, maximizing data utilization across program components (Multi-Purpose Cash Assistance -MPCA-, Group Cash Transfers -GCTs-, and Protection), and transforming data into compelling narratives. The Senior Data Analyst will also identify data gaps, conduct spot-checks, advise on data improvements, and ensure alignment with national research and analysis initiatives to inform the humanitarian response effectively.