Associate Team Lead

• Build and lead Research sub-team of 5+ data analysts by providing clear direction, establishing SMART goals, and optimizing resource allocation.
• Lead effective research planning and ensuring timely delivery/review/sign off of ESG research, meeting review requirements (e.g. quality levels).
• Assist the Team Manager to identify and eliminate roadblocks by partnering with technology teams and other database teams.
• Use LEAN Six Sigma tools and methodologies to optimize the research process and for assessing the root cause of issues
• Ensure appropriate methods and techniques to improve and maintain the highest quality standards in the data collected by the team
• Responsible for monthly performance analysis.
• Acts as main point of contact for his or her entire team for all questions, comments and concerns.
• Provides coaching and training to team members as appropriate and according to the specific needs of the individuals and the group.
• Identifies areas for improvement across the team and proactively takes steps to improve by arranging individual and group training sessions as appropriate.
• Stimulates team members to enhance their understanding of relevant regulation that affects ESG metrics and to improve analyst guidance on related indicators
• Sets goals and priorities for the individuals in the team in consultation with the Team Manager.
• Effectively motivates and rewards the team insuring good overall morale.
• Conducts performance reviews of each team member and explains/sets career development paths and opportunities for team members.
• Leads hiring/onboarding of new ESG analysts to and ensure the development of the necessary technical skills and content expertise.

Required Qualifications:

• Graduate degree in related discipline (business, finance, environment and/or social science);
• At least five years of relevant work experience preferably in research environment, with focus on industry / company research / data;
• At least 1-2 years of experience leading teams of 5+ people
• Strong analytical skills, entrepreneurial and problem-solving attitude; decisiveness.
• Meticulous and attentive to detail;
• Ability to effectively communicate with local and international teams;
• Strong project management and execution skills.
• Proven experience optimizing processes., affinity with text mining and / or artificial intelligence is a plus
• Ability to work and adapt in a changing and innovative international environment;
• Proficiency in Microsoft Excel, Power BI, and PowerPoint