About the Role
🔹Role🔹
We are looking for a Senior Data Analyst / GIS Specialist with a strong technical background in environmental data analysis, biodiversity, spatial modelling, and advanced statistics, capable of transforming complex environmental datasets into high-quality analytical and geographic insights.
🔹Who We Are🔹
Altia is a high-value digital transformation services company that has undertaken, changed, and reformulated international projects for nearly a thousand clients, leaders in their sectors, who have understood that their businesses can be revolutionized through digitalization. Over its 30 years of experience, it has proven to be a robust company with a future, a capacity for innovation, and adaptability.
🔹The project🔹
You will contribute to data analysis, environmental analytics, and geospatial activities within an international project supporting European institutions and agencies, working with complex datasets to support evidence-based analysis and decision-making.
Environmental Data Analysis: Analyse, manipulate, and interpret large and complex datasets, with a focus on environmental and biodiversity information.
Spatial Analysis & GIS: Perform advanced geoprocessing, spatial analysis, and cartographic activities to support the analysis and modelling of terrestrial ecosystems and environmental data.
Statistical Modelling: Apply advanced statistical methods to identify patterns, relationships, and insights within large environmental datasets.
Data Science & Environmental Accounting: Contribute to data science activities and, where applicable, natural capital accounting and environmental-economic assessment frameworks.
Data Quality & Modelling: Support data quality processes, database design, dimensional modelling, and the development of structured metrics and data catalogues.
Reporting & Communication: Prepare analytical reports, formal technical documentation, presentations, and geographic visualisations for both technical and non-technical stakeholders.
🔹Stack🔹
Data Analysis & Programming: SQL, Python, R, data manipulation, large datasets, environmental and biodiversity data.
Statistics: SPSS, R, Python statistical libraries, advanced statistical analysis and spatial statistics.
GIS & Spatial Data: ArcGIS, QGIS, GRASS GIS, GDAL, geoprocessing, spatial modelling, cartography and ecosystem analysis.
Environmental Data Science: Google Earth Engine (GEE), environmental analytics, biodiversity datasets, natural capital accounting, SEEA-EA, INCA.
Data Architecture & Quality: Data quality, database schemas, star and snowflake schemas, metrics catalogues and complex database environments.
Visualisation & Reporting: Geographic visualisation, analytical reporting, technical documentation and formal presentations.
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What we offer🔹
⚡High-impact project
👫 Collaborative work environment
🚀 Career Plan
📘 Training Plan
💸 Flexible Remuneration
The present job offer is drafted taking into account impartiality and non-discrimination on the grounds of gender, race, ideology, or any other reason. Especially, it takes into account the respect for the current regulations regarding gender equality between women and men (Royal Decree-Law 6/2019).