Data Analyst - Data Operations

Grade Level (for internal use): 07 Role The   Data Analyst   is an individual contributor role that develops foundational proficiency in one or more workflows or datasets. The role supports end-to-end data lifecycle activities including sourcing, basic validation, enrichment, and delivery under guidance, adhering strictly to standard operating procedures (SOPs) and set guidelines, and escalating deviations for a defined dataset or workflow. The role emphasizes building strong data literacy and operational discipline, learning industry concepts, and collaborating with other data research teams. Associates contribute to UAT and day-to-day solutioning, follow established standards, and participate in continuous process improvement and the adoption of technology and AI-enabled workflows.

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.

Fresher (2025/2026 passouts) -   Bachelor's/Masters degree in Finance, Economics, Commerce. Excellent in written & verbal communication Willing to work in rotational shift (including night shift) basis the business requirement Basic understanding of financial/market or domain data concepts relevant to the assigned dataset. Technical Skills Familiarity with structured/unstructured data formats (Excel, PDFs, filings, news, vendor feeds, etc). Beginner knowledge of SQL/Excel for querying, filtering, and reconciling data. Awareness of automation and GenAI tools; ability to follow prescribed usage patterns. Exposure to data lifecycle concepts (source → ingest → validate → publish). Functional Skills Ability to perform data entry, tagging, and basic enrichment accurately. Capability to read and interpret simple source materials (e.g., filings, vendor feeds, news). Structured escalation of exceptions with appropriate evidence and context. Ability to quickly learn and work with enterprise data capture tools, workflow systems, and ticketing platforms. ​ What’s In It For You?

Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them