- 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.

Domain Knowledge & Skills





- Basic understanding of Private Equity / Real Estate / Alternative Investment operations, including fund accounting and investor reporting concepts preferred.

- General awareness of capital markets, alternative investments & Private Equity is preferred.

Requirements

- 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

- Robust 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.

📌 Require a Data Analyst - Data Operations in Mumbai
🏢 TestHiring
📍 Mumbai