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12 дней назад

Data Analyst (EU Funding)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analyst (EU Funding) (SQL/Python/R, Public-Sector Data): Collecting, harmonising and analysing complex administrative datasets for a European public-sector organisation with an accent on data quality, entity resolution, reproducible workflows and EU funding data. Focus on building analytical databases, validating AI/NLP-assisted extraction, developing indicators and presenting findings to technical and non-technical stakeholders.

Location: Sevilla, Spain

Company

hirify.global runs and reimagines mission-critical technology systems for leading organisations, delivering technology services and AI-powered insight.

What you will do

  • Collect, assess, integrate and manage EU, national and administrative public-sector datasets.
  • Clean, transform and harmonise structured and semi-structured data using SQL, Python, R or equivalent tools.
  • Identify and standardise organisations, beneficiaries and other entities using record linkage, deduplication and reconciliation techniques.
  • Design and maintain relational or analytical databases, metadata, data dictionaries and reproducible data-processing workflows.
  • Define data-quality controls and perform exploratory, comparative and indicator-based analysis.
  • Create visualisations, dashboards and reports, validate AI/NLP-assisted outputs, and present findings to technical and non-technical stakeholders.

Requirements

  • EQF Level 7 university degree plus at least 5 years of professional IT experience, or EQF Level 6 degree plus at least 7 years of experience.
  • English at B2 level or higher, spoken and written.
  • At least 3 years of experience with structured and semi-structured data analysis using SQL and Python, R or equivalent analytical programming languages.
  • At least 3 years of experience in data extraction and transformation, relational or analytical databases, entity resolution, record linkage, deduplication and data-quality validation.
  • At least 1 year of experience using Machine Learning, NLP or other AI-assisted methods for textual or unstructured data.
  • At least 6 months of experience with EU funding or public-sector data, plus a recognised certification in data analytics, BI, data engineering, database management or data governance.

Nice to have

  • Power BI, Qlik, Microsoft Fabric or equivalent BI experience.
  • Experience with fuzzy or probabilistic matching, data lineage and heterogeneous administrative datasets.
  • Experience validating ML, NLP, LLM or AI-assisted workflows.
  • Experience with municipal or territorial data and international multidisciplinary teams.

Culture & Benefits

  • Flexible, supportive and hybrid-friendly culture focused on well-being and inclusion.
  • Be Well programmes supporting financial, mental, physical and social health.
  • Career development through personalised goals, continuous feedback, coaching and hands-on experience.
  • Access to certification and learning opportunities from Microsoft, Google and Amazon.

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