Job Description

Main responsibilities Identify, collect, and curate geospatial asset data from diverse sources, including company disclosures (e.g. sustainability reports, annual reports), public databases, and open-source data libraries to evaluate companies asset-level climate risk exposures. Ensure data quality, accuracy, and completeness through rigorous validation and data cleaning processes. Develop and maintain efficient data management workflows and standards to facilitate data accessibility and retrieval. Improve existing processes and implement new processes for research and data collection, specifically for asset-level data and emissions databases. Support smooth functioning of the research unit, including but not limited to process documentation, knowledge management, methodology upgrades and mapping enhancements. Perform spatial analysis using GIS software to identify patterns, relationships, and insights within the geospatial data. Generate insightful reports and visualizations to communicate the findings effectively to technical and non-technical audiences. Support colleagues and clients as subject matter experts on products and services of ISS STOXX Climate Nature Analytics including support on day-to-day communications and operations. Support sales and client services with client specific research requests and may be required to present findings of such deep dive research to clients. Qualifications A minimum of 2 to 5 years of relevant experience relating to data or research; any experience in climate change data is bonus. A master s/ advanced degree in environmental sciences/ geography/ engineering/ economics/ geoinformatics/ MBA with sustainability focus/ or a related field. Integrity, organizational skills and high attention to detail. Ability to prioritize multiple tasks in a high-pressure, deadline-driven environment. Excellent command of Excel and good working knowledge of all Microsoft Office applications. Strong research and analytical skills, ability to quickly process large amounts of data and information. Excellent verbal and written command of English. Willingness to work with a highly collaborative, flexible and innovative team across different locations. Regular work hours with slight flexibility to collaborate with colleagues and clients in different time zones Preferable additional qualifications: Proficiency in GIS software (e.g., ArcGIS, QGIS)/ Educational background or work experience in GIS technologies. Experience with cloud-based geospatial platforms (e.g., Google Earth Engine, AWS) Experience with data extraction from SQL/NoSQL databases as well as using Python or R libraries for data analysis and visualization. Experience with data visualization tools (e.g., Tableau, Power BI)