Data Analyst – Public Sector & EU Funding

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

We are looking for an experienced Data Analyst to join a data analytics project supporting a European public-sector organisation. The role focuses on the collection, integration, cleaning, harmonisation, validation and analysis of complex administrative and public-sector datasets , including project-level and EU funding data. The successful candidate will work with heterogeneous structured and semi-structured data sources, designing reproducible data-processing workflows and analytical datasets using SQL, Python, R or equivalent technologies . The position also involves database management, data quality, entity resolution and record linkage, data visualisation and the validation of outputs generated through AI/NLP-assisted processing. The role requires strong analytical and communication skills and the ability to work with both technical specialists and non-technical stakeholders in an international environment. The position is based in Sevilla, Spain. The Data Analyst will be responsible for activities including: Collecting, assessing, integrating and managing data from EU, national and other administrative/public-sector databases . Cleaning, transforming and harmonising structured and semi-structured datasets using SQL, Python, R or equivalent analytical tools . Identifying and standardising organisations, beneficiaries and other entities across heterogeneous data sources. Designing and applying entity matching, record linkage, deduplication and reconciliation techniques. Designing, building and maintaining relational or analytical databases , including tables, keys, relationships, views, metadata and data dictionaries. Defining and implementing data-quality and validation controls covering completeness, consistency, accuracy, uniqueness, plausibility and traceability. Developing reproducible extraction, transformation and analytical workflows, including reusable scripts and documented processing rules. Performing exploratory, descriptive and comparative data analysis and developing analytical indicators. Creating analytical tables, visualisations, dashboards and reports for technical, policy and non-technical audiences. Working with textual and unstructured information and supporting AI, Machine Learning and NLP-assisted data-processing workflows . Reviewing and validating automatically extracted entities, events, dates, amounts, classifications and relationships, including analysis of false positives and false negatives. Documenting data sources, assumptions, methodologies, limitations, data lineage and quality issues. Collaborating with policy officers, data owners, IT specialists and other stakeholders. Presenting analytical findings, methodological approaches, progress and risks clearly to technical and non-technical audiences.

Mandatory qualifications and experience University degree corresponding to EQF Level 7 (typically Master's degree or equivalent) plus at least 5 years of professional IT experience ; OR University degree corresponding to EQF Level 6 (typically Bachelor's degree or equivalent) plus at least 7 years of professional IT experience . English level B2 or higher , both spoken and written. Minimum 3 years of experience collecting, cleaning, harmonising and analysing structured and semi-structured data using SQL and Python, R or equivalent analytical programming languages . Minimum 3 years of experience in data extraction and transformation,