Impact & Data Analytics Specialist

NTU International A/S; Amsterdam; On-site; EUR 50,000 - 80,000; Full time

Job summary

NTU International A/S seeks a Non-Key Expert – Data, Economic & Impact Analyst to support data and economic analysis, monitoring and evaluation, and impact assessment within the AESPP Boost. You will synthesize evidence, monitor indicators and help prepare performance reports.

The role requires excellent English, with French or Portuguese as an asset, and a background in statistics, economics or related data disciplines. Remote collaboration and international project experience are valued.

Qualifications

• University degree of at least three years in statistics, economics, data analytics, social sciences, or a related field.
• Excellent command of English.
• Working knowledge of French and/or Portuguese is an asset.
• Minimum 3 years of professional experience in data analysis, economic analysis, surveys, reporting or indicator monitoring.
• At least 1 year of professional experience supporting MEL, evaluation or impact assessment, including quantitative and qualitative analysis, evidence synthesis, data compilation and preparation of dashboards or performance reports.

Responsibilities

• Support data and economic analysis, monitoring and evaluation, impact assessment, evidence synthesis, indicator monitoring and results reporting under the programme.
• Prepare dashboards or performance reports and contribute to MEL outputs.

Skills

Statistics

Economics

Data analytics

Social sciences

Education

University degree (3+ years) in statistics, economics, data analytics, social sciences

Job description

NTU International A/S seeks a Non-Key Expert – Data, Economic & Impact Analyst to support data and economic analysis, monitoring and evaluation, and impact assessment within the AESPP Boost. You will synthesize evidence, monitor indicators and help prepare performance reports.

The role requires excellent English, with French or Portuguese as an asset, and a background in statistics, economics or related data disciplines. Remote collaboration and international project experience are valued.