Data & Evaluation Methods Expert

NTU International A / S; Pamplona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading consultancy firm in Spain is seeking a Data & Evaluation Methods Expert to support a major EU project. The ideal candidate will have a Master’s Degree and at least 8 years of experience in econometric analysis of financial instruments. Strong command of English and experience with ORBIS and PitchBook are essential. The role will contribute to assessing market failures and designing evaluations for EU financing instruments. Interested candidates can submit their CVs to the provided recruitment email.

Formación

• Minimum 8 years of experience in econometric analysis of financial instruments and market failures.
• Strong experience in evaluation design and impact measurement.
• Very good command of English required.

Conocimientos

Econometric analysis

Skills in ORBIS

Skills in PitchBook

Statistical data analysis

Impact measurement

Fluent English

Educación

Master’s Degree or higher

Descripción del empleo

NTU International A / S is leading a consortium for the preparation of proposal for the EIB project : ESF+ ERDF EU wide market assessment studies for the 2028+ Programming Period and is searching for non-key experts to support the core team during the implementation of this project.

The overall objective of the project is building on the long-standing cooperation between the EC and EIB, and the vast experience accumulated in the context of fi-compass on the implementation of FIs, the present assignment aims at providing support to the 27 EU MS and relevant MAs in the justification and design of FIs to be financed by EU funding instruments under shared management in the 2028+ programming period.

Start date : 1 December 2025.

Duration : 15 months

Data & Evaluation Methods Expert

Requirements :

• Education at least Master’s Degree level or higher,
• ≥ 8 years in econometric analysis of FIs and market failures.
• Strong skills in ORBIS, PitchBook, and statistical data sources.
• Experience in evaluation design and impact measurement.
• Very good command of English.

Interested candidates should submit their CV and a brief statement of interest to [e-mail] on a rolling basis. Shortlisted candidates will be contacted.