Lead Data Analyst position at S&P Global, responsible for managing proprietary database, collecting and synthesizing ESG data, and collaborating with global team to deliver excellence in sustainability indices and benchmarking methodologies.
Requirements
- Process data (Financial/ESG qualitative and quantitative data) and apply it in an accurate manner to the database using CSA guidance
- Collection, Standardization and validation of data from various documents
- Good understanding of ESG concepts, ESG research methodologies and trends
- Deliver on pre-defined individual and team targets including delivering outcomes with quality and efficiency
- Perform quality checks on ESG assessments completed by other team members
- Engage with ESG analysts to understand the challenges and suggest solutions
- Coordinate with various stakeholders in understanding and building the content
- Keeps him/herself updated in knowledge of content sets. Build industry knowledge by understanding industry trends and reporting standards
- Provides input and ideas for new collection methods and product improvements related to the covered content sets
- Troubleshoots problems or issues and provide support to the team
- Act as a back up to the team leader and actively participate on the calls with the management and clients
Benefits
- Health & Wellness: Health care coverage designed for the mind and body
- Flexible Downtime: Generous time off helps keep you energized for your time on
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference
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