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) Show more Show less