Our Data Governance focus is on managing key metadata sets. Primary examples include the Application, Service & Product Portfolio, Locations and Cloud Service Accounts. They work closely with data owners, consumers, and stakeholders to define quality and completeness standards and rules. They also collaborate with source system developers to implement self-service data change requests and revalidation mechanisms to keep data current and accurate. Their FinOps focus is on managing and optimizing cloud financial operations with a strong emphasis on cloud cost allocation. Their monitor and allocate cloud costs. They analyze cloud cost data and publish key performance indicators tracking actionable cost-saving opportunities. S&P Global collaborate with cloud providers, finance, divisional stakeholders, and IT. To enable FinOps, the team drives the design, implementation, and support of the FinOps data Lakehouse and reporting.
Name of the
Organization: S&P Global
Requisition
ID: 303049
Positions: Reporting
and Data Analyst
Location: Gurgaon
& Bangalore
Salary: As per
company Norms
Educational
Qualifications:
- Expertise in Excel.
- Experience with one or more of the following: Alteryx, SQL, Power BI, Python, Cloudability, Dremio or similar tools.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to manage multiple tasks and prioritize effectively.
Additional
Preferred Qualifications:
- Experience in cloud cost allocation and/or forecasting is a plus.
- Experience in Quality Assurance, Testing or Data governance is a plus.
- Knowledge of financial concepts such as cost accounting and amortization.
Responsibilities:
- Develop reporting and automation solutions for Cloud Cost Allocation, Cloud Governance KPI publication, Data Governance, and Forecasting Support.
- Assist in performing data governance tasks to ensure data quality, consistency, and compliance.
- Utilize Excel and other tools (Alteryx, Power BI, Python, SQL, Cloudability, Dremio) to analyse and interpret complex data sets.
- Collaborate with cross-functional teams to identify data requirements and develop efficient solutions.
- Create and maintain documentation for processes and reports.
- Continuously seek opportunities to improve data management and reporting processes.
- Provide operational support of reports and solutions developed by self and others.
- Assist in the monthly close process.
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