Lead Data Analyst

Title: Lead Data Analyst, Private Equity Indexes Data Operations No. of positions: 1 Shift: General The Group: Morningstar Indexes Team leverages its expertise in equity research, manager research, asset allocation, and portfolio construction to create innovative investment solutions. It uses Morningstar`s intellectual property to create indexes that empower investors’ success at every stage of the investment process - market monitoring, benchmarking, and asset allocation. The unit offers a broad suite of global equity, bond, commodity and asset allocation indexes. The Role: Morningstar Indexes seeks an intelligent and creative professional for its Indexes Data Operations team. The team is responsible for sourcing, validating, and maintaining critical reference and market data used in index construction and portfolio management, including Total Shares Outstanding (TSO) and Free Float data across both public and private markets. In addition to core data operations responsibilities, we work on Private Markets data and content, supporting the development of new Indexes, operational processes and index review activities. We are looking for a content researcher individual contributor with expertise in Private Equity markets. This role will play a key part in strengthening Morningstar's private markets capabilities by ensuring the quality, scalability, and integrity of data related to venture capital, private equity, private companies, and listed/unlisted investment funds. The role also requires flexibility to support other Public Equity data coverage areas, including Float and TSO datasets, collaborating with the wider team to meet delivery commitments during critical business cycles and peak demand periods. This is a mid-level individual contributor role, equivalent to an Assistant Team Lead/Team Lead level in the people manager track. The position is based in Vashi, Navi Mumbai, India. Responsibilities: Own the business definition, scope, quality, sourcing strategy, operating model, and lifecycle of private-markets data used by Morningstar Indexes. Define and maintain the private-markets data taxonomy, business definitions, critical data elements, entity relationships, source hierarchy, curation rules, and coverage standards. Own the end-to-end business process for sourcing, collecting, validating, curating, approving, correcting, and maintaining private-markets data. Establish data-quality standards and KPIs covering accuracy, completeness, consistency, timeliness, coverage, uniqueness, and source traceability. Monitor data-quality performance, prioritize material issues, lead business root-cause analysis, and ensure effective corrective and preventive actions. Own the business roadmap for private-markets data, balancing new data coverage, quality improvements, sourcing changes, process scalability, operational risk, and index-product priorities.