Data Analyst

Education: Bachelor's or Master's — Data Science, Computer Science, GIS, Environmental Informatics, Ecology, Statistics or related

Experience: ≥3 years

Role summary: Manages, processes and analyses biodiversity data across BDMS — integrates multi-source data, ensures quality, produces indicators, and supports decision-making via dashboards/reports. Works closely with the SME, GIS specialists and developers.

Key responsibilities (compact):

• Design/maintain automated ETL/ELT pipelines (internal DBs, field surveys, sensors, camera traps, GPS, satellite imagery, third-party APIs)
• Data quality: validation, cleansing, normalization, deduplication, spatial processing
• Implement & automate biodiversity indicator formulas (regulatory aligned)
• Scheduled/ad-hoc reporting — PDF, Excel, Word, JSON, XML
• Interactive dashboards & geospatial visualization (maps, heatmaps, trend charts)
• Prepare/label/version AI-ML training datasets (camera-trap species ID, acoustic recognition, habitat-change detection); integrate model outputs into BDMS
• Database administration support, backup & disaster recovery
• Technical documentation: data dictionaries, ETL workflows, reporting methodology
• Cross-functional collaboration with biodiversity experts/technical teams

Core skills

• SQL / relational databases, PostgreSQL / PostGIS
• ETL / ELT design & data integration
• GIS concepts & spatial data analysis
• Large environmental / geospatial dataset management
• Data visualization / dashboarding (Power BI, Tableau, or similar)
• AI/ML dataset preparation & labelling
• Environmental or biodiversity dataset familiarity (advantage)