Description
The Data Researcher role is part of the Transactions team at S&P Global, which aims to produce actionable, transparent, and comprehensive data and insights.
The successful candidate will lead teams working on collecting transaction data, driving projects and initiatives to deliver high-quality content to clients.
Key responsibilities include:
- Managing multiple teams working on transaction data collection and value-added tasks
- Leading teams across assigned businesses/regions for workflow systems, focusing on process, productivity, and functionality improvements
- Coordinating with internal and external stakeholders, including clients
- Owning performance measurement processes, talent development, team engagement, and VIBE for teams
- Generating and sharing status reports and updates with stakeholders
- Managing operational or project-focused teams across offices
- Promoting LEAN culture and concepts, such as Robotics and AI
- Identifying individual strengths to delegate work and guiding team members for future growth
The ideal candidate will have:
- Sound understanding of transaction dataset processes, such as M&A and public offerings
- Strong analytical skills and out-of-box thinking
- Good oral and written communication skills
- Experience with SQL and MS Office
- Excellent leadership and people management skills
- Ability to prioritize and manage multiple projects simultaneously
- Familiarity with Blue Prism, Python, Tableau, and Six Sigma certification is an added advantage
S&P Global offers various benefits, including health and wellness programs, flexible downtime, continuous learning opportunities, competitive pay, and family-friendly perks.