Highlights
Leverage cutting-edge AI tools to enhance data operations, work on global projects, and collaborate with diverse teams.
Description
Job Summary
pWe are seeking an AI Data Operations Analyst to join our Geospatial Data Team. The role involves driving data collection, ensuring quality assurance, and leveraging AI for operational excellence in Climate and ESG geospatial datasets.
Responsibilities
- Drive data collection & delivery by sourcing, analyzing, and processing company disclosures and public filings.
- Leverage generative AI tools for data extraction, content classification, anomaly detection, and research acceleration.
- Develop AI-friendly methodologies to convert unstructured data into structured machine-readable formats at scale.
- Strengthen quality assurance by collaborating with QA engineers on contextual checks and validation frameworks.
- Enable new methodologies and products through partnerships with Research & Product teams.
- Maintain the operations platform, including operational trackers, dashboards, and reference systems.
- Develop SOPs, process flows, and knowledge-base articles for transparency and scalability.
- Collaborate closely with cross-functional teams to ensure seamless data delivery and address client queries professionally.
Required Skills
- Data Collection & Analysis
- Generative AI Tools
- Python Programming
- SQL Database Management
- Quality Assurance Frameworks
Required Skills Explained
- Strong understanding of data acquisition workflows and processes.
- Familiarity with AI tools for research and data analysis, such as ChatGPT, Claude, Copilot.
- Hands-on experience in Python programming, particularly for scripting, data analysis, and automation tasks.
- Working knowledge of SQL and geospatial tools like QGIS or Google Earth Engine is beneficial.
- Excellent attention to detail and structured analytical mindset.
- Strong English communication skills, both written and verbal.
Who is this for
pThis role is ideal for data analysts, researchers, or data managers with a keen interest in Climate and ESG data domains. Experience in AI and geospatial technologies is highly valued.
Why This Job is a Good Opportunity
ulliOpportunity to work in the growing field of Climate and ESG data management.liPotential for significant impact through improving data quality and operational efficiencies.liCollaboration with cutting-edge AI technologies and tools, enhancing professional skillset.liFlexible working arrangements and comprehensive employee benefits package.liGlobal network of talented colleagues fostering innovation and personal growth.
Interview Preparation Tips
- Research MSCI’s Climate and ESG initiatives to show your alignment with the company culture.
- Prepare examples of how you have used Python for data analysis or automation in previous roles.
- Discuss your experience with AI tools and how it has enhanced your research capabilities.
- Highlight any projects where you improved operational efficiencies through process optimization.
- Be prepared to discuss your approach to managing competing priorities and delivering under deadlines.
Career Growth in This Role
pThe role of an AI Data Operations Analyst offers numerous opportunities for career advancement within MSCI. As you gain experience, you can explore more specialized roles such as Senior Data Analyst or Data Management Lead. The position also provides a strong foundation for those interested in moving into leadership positions, including Data Operations Manager or even higher-level management roles.pAdditionally, the role involves continuous learning and development through MSCI’s global orientation program, Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities. This ensures that you stay updated with the latest technologies and methodologies in data operations and ESG analysis.
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Skills
Frequently Asked Questions
What experience is required for this role?1-3 years of experience in data collection or research, strong understanding of Climate and ESG domains, hands-on Python programming skills, and familiarity with generative AI tools.
Can I apply if I don't have all the required skills mentioned?While having all the listed skills is ideal, we welcome applications from individuals who demonstrate strong potential for learning and growth in these areas.
What are the perks of working at MSCI?MSCI offers transparent compensation schemes, flexible work arrangements, a culture of innovation, global network support, and comprehensive employee benefits including multi-directional career paths.
