• Work on Client Platforms with Data Services Core team to Prepare custom Level 3 client reports based on specific requirements and data sets.
• Design, develop, and deploy AI agents capable of performing intelligent data and report functions
• Develop and maintain correction files and tools to manage data adjustments and ensure accuracy.
• Automate repetitive tasks using Python scripts and Excel macros where applicable.
• Perform data validation, quality checks, and ensure compliance with internal standards. • Query and manage data using AWS Athena and Aurora, ensuring scalability and performance.
• Collaborate with Sustainalytics Data Services Digital, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs.
• Document processes and maintain clear guidelines for report generation and correction workflows.
• Stay up-to-date with the latest developments in AI, and client facing technologies. Required Qualifications
• Bachelor’s degree in Computer Engineering, Computer Science, or related field.
• Strong proficiency in Python (data manipulation libraries like Pandas, NumPy).
• Strong knowledge of API integration, and data extraction from both structured and unstructured sources
• Advanced knowledge of SQL for querying and managing relational databases.
• Excellent Excel skills, including formulas, pivot tables, and automation techniques.
• Knowledge of distributed computing and data engineering techniques for scalable data processing
• Hands-on experience with AWS services (Athena, Aurora, S3).
• Strong analytical and problem-solving skills with attention to detail.
• Ability to manage multiple priorities and deliver under tight deadlines. Preferred Skills
• Experience with data visualization tools (Power BI, Tableau).
• Familiarity with version control (Git) and workflow automation.
• Knowledge of financial data and reporting standards is a plus.