Data Analyst, Short-Term

The Data Analyst will provide applied analytical support to the EMAG project and its institutional counterparts, primarily the Ministry of Agriculture and Food Industry and the Agency for Intervention and Payments in Agriculture. The role focuses on transforming project and institutional data into practical analytical tools, dashboards, and evidence products to support decision-making, implementation monitoring, and project reporting.

Responsibilities

• Support evidence-based planning, monitoring, and reporting processes within the beneficiary institution, in close coordination with the UNDP project team.
• Contribute analytical inputs to internal planning documents, progress updates, briefings, and reporting products prepared by the beneficiary institution and the UNDP project team.
• Prepare analytical summaries, tables, dashboards, and visual materials to support internal decision-making and management processes at institutional and project levels.
• Respond to ad hoc analytical requests from institutional counterparts and the UNDP project team related to implementation progress, performance tracking, and operational issues.
• Support the mapping, consolidation, and routine updating of key administrative and sectoral data sources within the beneficiary Ministry or institution and its subordinate entities, in coordination with the UNDP project team.
• Assist in assessing data quality, completeness, consistency, and update cycles of administrative and operational datasets.
• Perform basic data validation, cleaning, and harmonization in line with agreed definitions and standards.
• Maintain basic documentation of data sources, assumptions, and update processes to support institutional continuity and project reporting needs.
• Identify data gaps or inconsistencies and communicate them to institutional counterparts, the UNDP project team, and the Data Intelligence Unit, as appropriate.
• Prepare clear and user-friendly visualizations (dashboards, charts, maps) tailored to the needs of institutional management, technical staff, and the UNDP project team.
• Support the maintenance and regular updating of dashboards and analytical tools used by the beneficiary institution and the project.
• Assist institutional staff and project team members in interpreting and using analytical outputs in day-to-day work and ensure that visual outputs are consistent, interpretable, and aligned with institutional and project needs.
• Act as a focal point for analytical coordination between the beneficiary institution, the UNDP counterparts, and the Data Intelligence Unit.
• Maintain regular communication with the Data Intelligence Unit and the UNDP Policy Specialist, providing updates on analytical work, data availability, and emerging institutional or project-related needs.
• Escalate methodological or technical issues requiring advanced analytical support to the Data Intelligence Unit.
• Support basic data literacy and knowledge-sharing activities, including on-the-job guidance, short briefings, or training sessions for institutional staff and, where relevant, project stakeholders.
• Promote good practices related to data handling, confidentiality, and ethical data use.
• Perform other duties within their functional profile as deemed necessary for the efficient functioning of the project, the partner institution and the Organization.

Requirements

• Advanced university degree (Master’s degree or equivalent) in Economics, Statistics, Data Science, Public Policy, Social Sciences, Information Systems, or another field relevant to data analysis, public sector analytics, and institutional development is required; OR a first-level university degree (Bachelor’s degree) in the areas mentioned above, in combination with an additional two (2) years of qualifying experience, will be given due consideration in lieu of the advanced university degree.
• Applicants with a Master’s degree (or equivalent) in a relevant field of study are not required to have professional work experience.
• Applicants with a Bachelor’s degree are required to have a minimum of two (2) years of relevant national or international experience in data analysis, data management, monitoring and reporting, or project implementation.
• This experience must include applied data analysis and visualization (preparing tables, dashboards, charts, and analytical summaries) using standard office software, databases, and data visualization platforms (e.g., Power BI, Tableau, Looker Studio, Metabase, or similar).
• Experience working with administrative or operational datasets, including data collection, cleaning, validation, and basic analysis.
• Ability to support evidence-based planning, monitoring, and reporting processes in an institutional or project context.
• Experience working with or supporting public institutions, government programmes, development projects, or large organizations requiring structured data management and reporting.
• Experience related to agriculture, rural development, or public sector digitalization is an asset.
• Familiarity with data governance principles, data standards, or interoperability considerations, combined with the ability to interpret and present data clearly to support decision-making is an asset.
• Previous experience with UN agencies, international organizations, or development partners will be considered an advantage.
• Fluency in Romanian and English is required.
• Knowledge of one or more minority languages relevant for Moldova, including Russian, Romani, Gagauzian, Bulgarian, Ukrainian and sign language, is an asset.
• Additional training or certification in data analysis, data visualization, monitoring and evaluation, project management, public administration, or digital governance will be considered an advantage.

Skills

• Data Analysis
• Data Visualization
• Dashboard Development
• Data Management
• Data Cleaning
• Data Validation
• Monitoring and Reporting
• Applied Data Analysis
• Power BI
• Tableau
• Looker Studio
• Metabase
• Project Implementation
• Evidence-Based Planning
• Public Sector Analytics
• Data Governance
• Data Standards
• Interoperability
• Statistical Analysis
• Policy Analysis
• Institutional Development

Languages

Romanian, English