Data Analyst – Data Operations Job Openings in Mumbai 2026!!!
S&P Global announced job vacancy for the post of Data Analyst – Data Operations.The place of posting will be at Mumbai.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | S&P Global |
| Required Qualifications | Post Graduate |
| Skills | Excellent written and verbal communication skills in English |
| Category | Data Management |
| Work Type | Onsite |
The Data Analyst is an individual contributor role that develops foundational proficiency in one or more workflows or datasets. The role supports end-to-end data lifecycle activities including sourcing, basic validation, enrichment, and delivery under guidance, adhering strictly to standard operating procedures (SOPs) and set guidelines, and escalating deviations for a defined dataset or workflow. The role emphasizes building strong data literacy and operational discipline, learning industry concepts, and collaborating with other data research teams. Associates contribute to UAT and day-to-day solutioning, follow established standards, and participate in continuous process improvement and the adoption of technology and AI-enabled workflows.
Job Details
Θ Positions: Data Analyst – Data Operations
Θ Job Location: Mumbai
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 329670
Roles and Responsibilities:
- Process and analyze financial documents received from General/Limited Partners, including capital calls, distributions, financial statements, and schedules of investments.
- Access GP portals and repositories to download, categorize, and tag fund-related documents with accurate metadata.
- Extract, standardize, and validate data from Private Equity documents such as Partners’ Capital Account statements, cash flow statements, and investment schedules.
- Identify appropriate accounting breakouts and classify data items related to fund-level investments and portfolio companies.
- Perform data quality checks, resolve exceptions raised through manual QC reviews and automated validation logs, and ensure adherence to defined data standards.
- Conduct routine reporting and basic trend analysis to support internal analytics and operational insights.
- Support data cleansing initiatives to improve accuracy and consistency across datasets.
- Assist with process improvement, Lean initiatives, and automation efforts, including basic SQL-driven data tasks.
- Maintain clear documentation of data collection and validation processes for auditability and future reference.
- Collaborate with team members to deliver individual and team targets with a strong focus on quality, accuracy, and timeliness.
- Participate in ad-hoc projects aligned to business expansion, data enhancement, or automation initiatives.
Required Skills & Qualifications:
- Fresher: Postgraduate degree in Finance, Data Analytics, or related field (MBA (Finance), PGDM, or equivalent preferred).
- Excellent written and verbal communication skills in English.
- Shift & Work Schedule – This position operates under a global service delivery model and requires flexibility to work rotational shifts aligned to Asia, EMEA, and US business hours, based on business needs. During peak business periods (such as quarter-end or year-end reporting), there may be a requirement to work extended hours or shift overlaps to meet delivery timeline
- Strong analytical mindset with attention to detail and problem-solving ability.
- Certification and experience in MS Office (Excel, Word, PowerPoint); basic knowledge of SQL, Python; familiarity with BI tools is an advantage.
- Exposure to automation, Lean methodologies, or GenAI tools is a plus.
- Good understanding of basic accounting principles (GAAP).
- Ability to work effectively in a team environment under stringent deadline.
- Proactive attitude with a willingness to learn, ask questions, and continuously improve.
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