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.

Postgraduate degree in Finance, Data Analytics, or related field (MBA (Finance), PGDM, or equivalent preferred).
0–1 year of experience in Fund Administration, Private Equity Operations, or Financial Data Processing.
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).
Excellent written and verbal communication skills in English.
Ability to work effectively in a team environment under stringent deadline.
Willingness to work global shifts and extended hours during peak reporting periods.
Proactive attitude with a willingness to learn, ask questions, and continuously improve.

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Data Analyst

Key skills