National Data Adviser

Role and Responsibilities Engage with Ministry of Social Affairs leadership, technical teams, and stakeholders to identify priorities, define methodologies, and develop a realistic workplan. Assess priority datasets, systems, tools, and existing analytical products to identify data quality issues, inconsistencies, duplication, and operational risks. Clean, validate, reconcile, and maintain priority datasets, with particular attention to displacement, beneficiary, and payment-related data. Design and implement practical data cleaning, validation, and deduplication approaches, including the development of scripts and methodologies where appropriate. Develop, improve, and maintain decision-ready dashboards and analytical products that support operational and strategic decision-making. Produce analytical briefs and insights on key trends, geographic coverage, and programme performance, presenting findings to stakeholders for review and validation. Develop clear documentation, standard operating procedures, guidance materials, and handover packages to support continuity and sustainable use of data products. Ensure compliance with data protection and confidentiality standards while contributing to knowledge sharing, collaboration, and other NORCAP priorities. What We Offer In recognition of your expertise and contributions, we provide the following benefits and opportunities: Rewarding work for a renowned global organisation Access to a network of humanitarian, peace, and development professionals A dedicated Staff Care Unit Eligible for consideration for NORCAP membership and future assignments, subject to a successful performance review. Desired Candidate Profile 5 to 7 years of professional experience in data analysis, data management, or a closely related field, including work with large and complex datasets. Demonstrated ability to deliver high-quality analytical outputs and results within challenging timelines and evolving operational contexts. Strong technical proficiency in Python and/or R, SQL, Power BI and/or Tableau, and advanced Microsoft Excel. Proven experience in data cleaning, validation, deduplication, data visualisation, and the development of decision-support products. Experience within humanitarian, emergency response, social protection, public sector, or government data systems is highly desirable. Strong analytical, communication, prioritisation, and problem-solving skills.