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.
  

• 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.