Require a Data Analyst - Data Operations in Mumbai

TestHiring; Mumbai; On-site; INR 400,000 - 800,000; Full time

Job summary

TestHiring is seeking a Data Analyst - Data Operations in Mumbai to process and analyze financial documents from General/Limited Partners, and to categorize and validate fund-related data. You will extract data from Private Equity statements, perform quality checks, and contribute to routine reporting and analytics.

The role requires familiarity with SQL, Python, Excel, and BI tools; fresh graduates with a strong analytical mindset are encouraged to apply.

Qualifications

• Postgraduate degree in Finance, Data Analytics, or related field.
• Excellent written and verbal communication in English.
• MS Office proficiency with basic SQL and Python knowledge.
• Fresher- level role with willingness to learn and grow.

Responsibilities

• Process and analyze financial documents from LPs, including capital calls and distributions.
• Access GP portals to download, categorize, and tag fund documents with metadata.
• Extract, standardize, and validate data from Private Equity statements.
• Identify accounting breakouts and classify fund-related data items.
• Perform data quality checks and resolve exceptions via QC and automated logs.
• Support routine reporting and basic trend analysis for analytics.
• Assist with data cleansing and process improvement initiatives.
• Document data collection and validation processes for audits.
• Collaborate with team to meet targets with accuracy and timeliness.

Skills

Analytical thinking

Attention to detail

Team collaboration

Problem solving

Education

Postgraduate degree in Finance or Data Analytics

MBA (Finance) or equivalent

Tools

SQL

Python

Excel

BI tools

Job description

Require a Data Analyst - Data Operations in Mumbai

TestHiring is a smart online candidate evaluation platform designed for recruiters, HR teams, and hiring managers seeking efficiency, fairness, and accuracy in their hiring. With early screening via automated ranking and unbiased scoring, TestHiring helps identify top talent in less time

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Job Description

• 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).

• Excellentwritten and verbalcommunicationskills 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.