Morningstar India | Lead Data Analyst

Responsibilities

• 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.
• 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.
• Own the business definition, scope, quality, sourcing strategy, operating model, and lifecycle of private-markets data used by Morningstar Indexes.
• 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.
• Partner with the Technology teams to deliver data-platform and workflow enhancements, while retaining accountability for business prioritization and business acceptance.
• Own business UAT and sign-off for changes affecting private-markets data, including validation of business rules, workflows, controls, and downstream usability.
• Own business relationships with external data vendors and content providers, including requirements, coverage and quality assessment, performance reviews, escalations, and sourcing recommendations.
• Assess market, regulatory, and industry developments and translate relevant changes into data requirements, source changes, process updates, and roadmap priorities.
• Maintain data dictionaries, SOPs, source documentation, decision logs, curation guidance, and knowledge repositories.
• Define and maintain the private-markets data taxonomy, business definitions, critical data elements, entity relationships, source hierarchy, curation rules, and coverage standards.
• Gather and prioritize requirements from Index Research, Index Operations, Product, and other data users, translating them into clear business requirements, rules, and acceptance criteria.
• Define and manage the data-sourcing strategy, source precedence, confidence standards, and procedures for resolving conflicting information.
• Coach analysts and data stewards on private markets concepts, quality standards, source evaluation, and operational processes.

Requirements

• At least 5 years of relevant experience in private-markets data, financial data operations, investment research, data products, index operations, asset management, or a financial data provider.
• Demonstrated ownership of a dataset, data-content capability, data operations process, or business data product.
• Strong knowledge of private markets entities, funds, ownership structures, and valuations.
• Experience defining data-quality standards, validation rules, exception processes, and operational controls.
• Experience designing or improving data-sourcing, collection, curation, and maintenance processes.
• Experience evaluating and managing external data sources or data vendors.
• Ability to develop and prioritize a business data roadmap and translate stakeholder needs into requirements and acceptance criteria.
• Working knowledge of SQL sufficient for data investigation, reconciliation, validation, and UAT.
• Working knowledge of Python sufficient to implement simple ETL pipelines.
• Strong analytical, problem-solving, prioritization, and decision-making capabilities.
• Strong stakeholder-management and influencing skills, including the ability to work effectively with research, operations, product, technology, procurement, and vendors.
• Strong written communication and documentation skills.
• Experience with index data, benchmark construction, index reviews, or portfolio-related data.
• Familiarity with private markets data vendors, regulatory filings, company registries, and other relevant data sources.
• Understanding of data governance, source lineage, metadata, point-in-time data, corrections, and auditability.
• Experience with Agile delivery and tools such as Jira, Azure DevOps, or Confluence.

Morningstar

Morningstar, Inc. is a leading provider of independent investment research and data, headquartered in Chicago and operating through subsidiaries in more than 30 countries with over 40 offices worldwide. It serves individual investors, financial advisers and wealth managers, asset managers, retirement plan providers and institutional investors with data, analytics and research (Morningstar Direct, Morningstar Investor, PitchBook for private markets, Sustainalytics for ESG research), credit ratings through Morningstar DBRS, Morningstar Indexes, and investment management and retirement services.

Morningstar India Private Limited, based in Vashi, Navi Mumbai, is a major data, research, technology and operations centre for the group — Morningstar counts India as one of its four regions alongside the Americas, EMEA and Asia-Pacific — and has been certified as a Great Place to Work for ten consecutive years. Its Mumbai teams work in managed-investment and equity data, equity and manager research, index management and operations, credit and ESG research, product development, client service and corporate finance — work that suits CA, CFA, MBA (Finance), M.Com and B.Com profiles as well as quantitative and research specialists.

• Industry: Financial services — independent investment research, data, indexes and credit ratings
• Headquarters: Chicago, Illinois, USA
• In India: Morningstar India Private Limited, Vashi, Navi Mumbai (Vishwaroop IT Park) and Mumbai (Platinum Park)