Data Analyst GIS Specialist

Il y a 5 heures

Arrondissement of BrusselsCapital, Brussels, Belgique Altia Temps plein
h3Role /h3 pWe 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. /p h3Who We Are /h3 pAltia 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. /p h3The Project /h3 pYou 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. /p ul liEnvironmental Data Analysis: Analyse, manipulate, and interpret large and complex datasets, with a focus on environmental and biodiversity information. /li liSpatial Analysis GIS: Perform advanced geoprocessing, spatial analysis, and cartographic activities to support the analysis and modelling of terrestrial ecosystems and environmental data. /li liStatistical Modelling: Apply advanced statistical methods to identify patterns, relationships, and insights within large environmental datasets. /li liData Science Environmental Accounting: Contribute to data science activities and, where applicable, natural capital accounting and environmental-economic assessment frameworks. /li liData Quality Modelling: Support data quality processes, database design, dimensional modelling, and the development of structured metrics and data catalogues. /li liReporting Communication: Prepare analytical reports, formal technical documentation, presentations, and geographic visualisations for both technical and non-technical stakeholders. /li /ul h3Stack /h3 ul liData Analysis Programming: SQL, Python, R, data manipulation, large datasets, environmental and biodiversity data. /li liStatistics: SPSS, R, Python statistical libraries, advanced statistical analysis and spatial statistics. /li liGIS Spatial Data: ArcGIS, QGIS, GRASS GIS, GDAL, geoprocessing, spatial modelling, cartography and ecosystem analysis. /li liEnvironmental Data Science: Google Earth Engine (GEE), environmental analytics, biodiversity datasets, natural capital accounting, SEEA-EA, INCA. /li liData Architecture Quality: Data quality, database schemas, star and snowflake schemas, metrics catalogues and complex database environments. /li liVisualisation Reporting: Geographic visualisation, analytical reporting, technical documentation and formal presentations. /li /ul h3What

we Offer
/h3 ul liHigh-impact project /li liCollaborative work environment /li liCareer Plan /li liTraining Plan /li liFlexible Remuneration /li /ul pThe 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). /p