{"id":4078975,"url":"https://alion.io/job/morningstar-lead-data-analyst","title":"Lead Data Analyst","company":{"id":12394,"name":"Morningstar","domain":"morningstar.com","url":"https://alion.io/company/morningstar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":18,"ghost_share":0,"stale_share":0.389,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CAPA","optional":false},{"name":"Confluence","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Jira","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-11-11T16:27:06Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T16:27:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Title: Lead Data Analyst, Private Equity\nIndexes Data Operations\nNo. of positions: 1\nShift: General\nThe 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.\nThe 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.\nResponsibilities:\nOwn the business definition, scope, quality, sourcing strategy, operating model, and lifecycle of private-markets data used by Morningstar Indexes.\nDefine and maintain the private-markets data taxonomy, business definitions, critical data elements, entity relationships, source hierarchy, curation rules, and coverage standards.\nOwn the end-to-end business process for sourcing, collecting, validating, curating, approving, correcting, and maintaining private-markets data.\nEstablish data-quality standards and KPIs covering accuracy, completeness, consistency, timeliness, coverage, uniqueness, and source traceability.\nMonitor data-quality performance, prioritize material issues, lead business root-cause analysis, and ensure effective corrective and preventive actions.\nOwn the business roadmap for private-markets data, balancing new data coverage, quality improvements, sourcing changes, process scalability, operational risk, and index-product priorities.\nGather and prioritize requirements from Index Research, Index Operations, Product, and other data users, translating them into clear business requirements, rules, and acceptance criteria.\nPartner with the Technology teams to deliver data-platform and workflow enhancements, while retaining accountability for business prioritization and business acceptance.\nOwn business UAT and sign-off for changes affecting private-markets data, including validation of business rules, workflows, controls, and downstream usability.\nDefine and manage the data-sourcing strategy, source precedence, confidence standards, and procedures for resolving conflicting information.\nOwn business relationships with external data vendors and content providers, including requirements, coverage and quality assessment, performance reviews, escalations, and sourcing recommendations.\nAssess market, regulatory, and industry developments and translate relevant changes into data requirements, source changes, process updates, and roadmap priorities.\nMaintain data dictionaries, SOPs, source documentation, decision logs, curation guidance, and knowledge repositories.\nCoach analysts and data stewards on private markets concepts, quality standards, source evaluation, and operational processes.\n\nRequirements:\nEssential\nAt 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.\nDemonstrated ownership of a dataset, data-content capability, data operations process, or business data product.\nStrong knowledge of private markets entities, funds, ownership structures, and valuations\nExperience defining data-quality standards, validation rules, exception processes, and operational controls.\nExperience designing or improving data-sourcing, collection, curation, and maintenance processes.\nExperience evaluating and managing external data sources or data vendors.\nAbility to develop and prioritize a business data roadmap and translate stakeholder needs into requirements and acceptance criteria.\nWorking knowledge of SQL sufficient for data investigation, reconciliation, validation, and UAT.\nWorking knowledge of Python sufficient to implement simple ETL pipelines.\nStrong analytical, problem-solving, prioritization, and decision-making capabilities.\nStrong stakeholder-management and influencing skills, including the ability to work effectively with research, operations, product, technology, procurement, and vendors.\nStrong written communication and documentation skills.\nPreferred\nExperience with index data, benchmark construction, index reviews, or portfolio-related data.\nFamiliarity with private markets data vendors, regulatory filings, company registries, and other relevant data sources.\nUnderstanding of data governance, source lineage, metadata, point-in-time data, corrections, and auditability.\nExperience with Agile delivery and tools such as Jira, Azure DevOps, or Confluence.\nCFA, CAIA, CA, FRM, or another relevant professional qualification.\nMorningstar is an equal opportunity employer.\nMorningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.\nI10_MstarIndiaPvtLtd Morningstar India Private Ltd. 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