This role is within the Centre of Excellence group for DOI cluster. It will be responsible for driving the quality for Public Ownership dataset. In addition to day-to-day interaction within the team, this role would require working with peers, involvement in process improvement projects and interaction with cross-location teams. This position is an excellent stepping- stone to understand the Public Ownership domain that will allow you to gain a comprehensive understanding on investment data and analytics in the marketplace, and also apply this knowledge to your daily responsibilities.
Name of the
Organization: S&P Global
Requisition
ID: 289993
Positions: Data
Analyst
Location: Gurgaon
Salary: As per
company Norms
Required Skills
& Qualifications:
- Graduate
- Demonstrated the ability to effectively & independently manage communication across different stakeholders
- Able to carry out day to day BAU work with minimal assistance.
- Expert understanding of the process.
- Has good grasp of own as well as mentees work.
- Able to multi-task across different projects and allocations.
- Project Managed at least 1 lean or automation project in the last 1 year (automation project approved by the RPA team)
- Has acquired an additional tech skill (SQL/VBA/Power Bi/Tableau) and used the skill to successfully deliver a project/add value to the team.
- Expert understanding of day to day work tools like Celsus, CTS, and pathfinder tools.
- Comfortable with both CIQ and MI platform.
- Articulate and fluent communication
Responsibilities:
- Be able to independently handle projects/workflows or any other task at hand delivering high quality and within deadlines.
- Deep dive into data analysis of each allocated project and drive discussions to closure with stakeholders on workflow/procedure improvement through findings.
- Deliver on predefined individual and team targets
- Should be able to effectively mentor team members
- Carry out process trainings for new hires as well as refresher sessions. Ensuring procedures are aligned across ownership teams and training manuals are updated with the latest guidelines.
- Understand the overall working of the dataset, be aware of the workflows and have strong working knowledge of work tools
- Provide inputs and ideas for new SQL reports, process improvement and product enhancements related to the dataset
- Identify new projects, lean/automation ideas, new policy proposals and enhancements as part of daily work.
- Actively communicate and collaborate with other stakeholders within the ownership vertical
- Troubleshoots problems or issues and provide support to the team
- Learning Exchange Courses as discussed with the manager* and mandatory trainings on LX to be completed within deadline
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