Require a Data Analyst - Data Operations in Mumbai

• 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
  
• 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.