Data Analyst / Statistician (Category Ii) Lisboa

Data Analyst / Statistician (Category Ii)
Lisboa
Lisboa, Lisboa, Portugal

NTU International A/S is leading a consortium for the preparation of proposal for the EU funded project in SEA Lot 6:

Education Sector Public Expenditure Review (PER) in Greenland and is searching for
- key experts to support the core team during the implementation of this project.

The overall objective of the Education PER would be to provide
- based recommendations for:

better fiscal management, efficiently and effectively use of public expenditures to support Greenland’s education sector, improve service delivery).

Data Analyst / Statistician (Category II)

Key Responsibilities:

• Conduct
  - depth analysis of budget execution, fiscal policies, and financial oversight mechanisms.
• Analyze large and complex datasets to identify trends in public spending and financial performance.
• Conduct variance analysis and support
  - benefit and
  - effectiveness assessments.
• Ensure data quality, accuracy, and integrity across various sources.
• Develop compelling data visualizations, dashboards, and presentations for technical and
  - technical audiences.
• Collaborate with finance, education, and policy experts to support integrated analytical outputs.
• Contribute to the design and implementation of data collection strategies where needed.
• Prepare analytical reports, briefs, and data summaries for stakeholders and
  - makers.

☝ Qualifications and skills:

• Bachelor’s degree or higher in Statistics, Data Science, Economics, Mathematics, or a related quantitative field.
• Proficiency in English (C1);
  
  
  
  Knowledge of Danish or Greenlandic is an asset.

☝ Professional experience:

• Minimum of 7 years of relevant professional experience, with demonstrated expertise in data analysis, preferably in public finance, economics, or development sectors.
• Advanced proficiency in statistical software and data visualization tools (e. G. , R, Python, STATA, SPSS, Tableau, Power BI).
• Proven experience in handling large datasets and applying advanced statistical techniques.
• Strong knowledge of public sector data, fiscal indicators, or development finance is a plus.
• Excellent communication skills, including the ability to present complex data in accessible formats.

☝ Preferred Qualifications:

• Experience working with government, development agencies, or international institutions.
• Familiarity with open data standards, GIS, or machine learning tools is a plus.
• Publication or authorship of relevant analytical reports or dashboards.

If you are interested in this opportunity, please apply and upload your CV via Linked
In or sent to recruitment@ntu. eu. Due to the large number of applicants, only shortlisted candidates will be contacted.