Data Analyts/ Data Engineer

At least three years of experience collecting, cleaning, harmonising and

analysing structured and semi-structured data using SQL and Python, R or

equivalent technologies.

• At least three years of experience in data extraction and transformation, the

construction and maintenance of relational or analytical databases, and

the preparation of reproducible datasets with metadata and data

dictionaries.

• At least three years of experience in entity identification, name

standardisation, record linkage, deduplication, data-quality checks,

validation and reconciliation across multiple heterogeneous data sources.

• At least two years of experience in exploratory, descriptive or comparative

data analysis, or in indicator development.

• At least one year of experience using machine-learning, NLP or AI-assisted

tools to process and analyse textual or other unstructured information.

• At least six months of experience processing and analysing EU funding data

or public-sector and administrative data sources.

• At least six months of experience in data visualisation and communicating

analytical findings to non-technical audiences.

Technical Skills

Candidates should demonstrate proficiency in several of the following

technologies:

• SQL

• Python

• R

• Microsoft Power BI

• Qlik

• Microsoft Fabric

Certifications

A recognised professional certification in data analytics, business intelligence,

data engineering, database management or data governance is required. Relevant

certifications include:

• Microsoft Certified: Power BI Data Analyst Associate

• Microsoft Certified: Azure Data Engineer Associate

• Microsoft Certified: Fabric Analytics Engineer Associate

• Microsoft Certified: Fabric Data Engineer Associate

• An equivalent recognised professional certification