Your Team Responsibilities
The Geospatial Data Team manages collection operations, data quality, and best practices for Climate and ESG geospatial data. The team drives data acquisition, vendor coordination, QA engineering, process automation, and research enablement—serving as the operational backbone for MSCI’s geospatial data products.
- Geospatial Data Acquisition: Gatekeeper for all geospatial data acquisition, ensuring compliance with best practices and drive system development and process set-up to meet “Data Factory” requirements.
- Data Onboarding & Integration: Oversee the ingestion and integration of third-party data into MSCI systems. Collaborate with product and research teams to prioritize data acquisition efforts.
- Data Governance Best Practices: Establish and enforce data governance standards for SLA management, new data acquisitions, source changes, and data cataloguing.
- Process Transformation: Optimize and scale existing data operations by implementing next-generation data acquisition workflows, leveraging Artificial Intelligence (AI)
and cloud-native solutions for improved efficiency and quality.
- Data Solutions for Research & Product Teams: Partner with research and product teams to develop new methodologies, assess feasibility, and provide practical recommendations on data-driven initiatives.
- Operations Process Automation: Drive automation of manual processes through hands-on tactical solutions while implementing scalable, long-term production systems.
- Data QA Engineering: Develop and enhance quality assurance (QA) frameworks for new and existing data. Build productive QA pipelines, multi-vendor validation systems, and data certification processes. Document findings and share insights with relevant research and product committees
Your Key Responsibilities
The AI Data Operations Analyst will play a pivotal role in advancing data quality, automation, and operational analytics across Climate geospatial datasets. This role requires strong
📌 Geospatial Physical Risk (Mumbai)
🏢 MSCI
📍 Mumbai