Data Analyst

For more than 25 years, Sustainalytics has focused on delivering high-quality, analytical environmental, social and governance (ESG) research, ratings and data to institutional investors and companies.

Our research is empowering world’s leading institutional investors to identify, understand, and manage risks and opportunities from an ESG perspective.

Our Corporate Solutions unit works with hundreds of companies and their financial intermediaries to help them consider sustainability in policies, practices, and capital projects.

To learn more information about us, please visit our website.

Experience with, database and reporting tools (SQL and PowerBI);
Advanced knowledge of Python
MUST be a Team Player, with a Positive Attitude; willingness to roll up the sleeves and deep dive into finding answers to simple yet multiple layered questions and providing solutions to complex problems
Excellent interpersonal and communication skills, combined with meticulous attention to details
Ability to work towards fast moving, strict deadlines, that are set with high-quality standards
Flexible mindset with strong ability to adapt for constantly shifting business requirements and needs
Proficient business English oral and writing skills

Manage, from a business perspective, the data related to the entities that are the subject of our research and maintain them in all internal systems
Support the client relations team by providing information related to the research entities existing in our products, coverage of client or prospects’ portfolios by our research products and planning research according to clients’ needs. For this purpose, you will collaborate with colleagues from all over the world to ensure the timely support for company’s clients and prospects
Collaborate with ICT teams to provide the necessary configuration of the internal and external tools and platforms in order to enable access for specific stakeholders
Collaborate with various stakeholders in the company to innovate the way we deliver data in order to achieve operational excellence.