Experteer Overview
Experienced Data Analyst to support a European public-sector dataset project. You will design reproducible data-processing workflows and analytical datasets using SQL, Python, or R, while ensuring data quality and governance. You’ll work with diverse data sources, build analytical dashboards, and validate outputs from AI/NLP-assisted processing. The role sits in an international context, collaborating with policy and IT stakeholders to drive effective public-sector insights.

Compensaciones / Incentivos
• Collecting, assessing, integrating and managing data from EU, national and other administrative databases
• Cleaning, transforming and harmonising structured and semi-structured datasets using SQL, Python, R
• Identifying and standardising organisations and entities across data sources
• Designing entity matching, record linkage, deduplication and reconciliation techniques
• Building and maintaining relational or analytical databases with metadata and data dictionaries
• Defining data-quality controls and validation rules (completeness, consistency, accuracy, uniqueness, plausibility, traceability)
• Developing reproducible ETL/ELT workflows and reusable processing scripts
• Performing exploratory, descriptive and comparative analytics and developing indicators
• Creating analytical tables, visualisations, dashboards and reports for varied audiences
• Handling unstructured data and supporting AI/NLP-assisted workflows
• Reviewing and validating automatically extracted entities and relationships,



addressing false positives/negatives
• Documenting data sources, methodologies, limitations, lineage and quality issues
• Collaborating with policy officers, data owners and IT specialists; presenting findings to technical and non-technical audiences

Responsabilidades
• University degree corresponding to EQF Level 7 (Master) or Level 6 (Bachelor) with substantial IT experience
• English level B2 or higher
• Min 3 years of experience with SQL and Python, R for data processing
• Min 3 years of experience in ETL/ELT and database design/maintenance
• Min 3 years of experience in entity identification, record linkage, deduplication and data-quality validation
• Min 2 years of experience in exploratory/descriptive or comparative data analysis and indicator development
• Min 1 year of experience with ML, NLP or AI-assisted methods on unstructured data
• Min 6 months of experience with EU funding data or public-sector datasets
• Min 6 months of experience in data visualization and communicating to non-technical audiences
• At least one professional certification in Data Analytics/BI/Data Engineering/Data Governance (e.g., Power BI, Azure Data Engineer, Fabric)
• Strong communication and collaboration in international, multidisciplinary teams

Requisitos principales
• Be Well programs
• hybrid-friendly culture
• certifications with Microsoft, Google and Amazon
• coaching and hands-on experiences
• continuous learning and career growth
• empowerment to thrive

📌 Data Analyst – Public Sector & EU Funding (Sevilla)
🏢 Kyndryl
📍 Sevilla