Operational Data Analyst
Vile Parle, Mumbai
2 years
Responsibilities: Operational Data Management
Execute periodic fundamental data and factor scores review
Identify and resolve data mismatches across multiple sources by analyzing discrepancies, cross-referencing databases, and ensuring data consistency
Develop expertise in key data sources, industry-specific datasets, and reference/master data management to ensure the highest quality in reporting and analytics Data Quality & Issue Resolution
Investigate discrepancies, missing fields, or anomalies in input data
Work with internal teams and external providers to resolve data issues promptly
Document recurring issues and help identify long-term remediation steps
Apply and maintain data quality rules, thresholds, and exception handling procedures Documentation & Governance
Keep data dictionaries, lineage records, and procedural documentation up to date
Support audit requirements by maintaining clear logs of changes, corrections, and approvals
Adhere to internal policies, data governance best practices, and regulatory requirements Cross-Team Collaboration
Work closely with index operations teams to understand evolving data requirements
Coordinate with data launch teams on pipeline fixes, enhancements, and testing activities
Communicate data issues clearly and in a timely manner to stakeholders Process Improvement
Identify inefficiencies in existing processes and propose automation enhancements to optimize operations
Contribute to improving data mastering processes, validation logic, and workflow controls
Help evaluate new data sources and support onboarding activities
Basic Qualifications
Master’s Degree. CFA or Advanced degree in business, economics, or finance strongly preferred.
At least 2+ years of professional experience working directly with data operations, fundamental/financial data research related roles
Domain Knowledge: Understanding of Fundamentals Data, Financial Statements, Factor score calculation
Ability to work independently on multiple projects Ability to work under time pressure, especially during index production cycles Data Mastery
Ability to analyze large datasets, detect discrepancies, and investigate mismatches using multiple sources.
Experience in reconciling datasets, validating inputs, and ensuring alignment with reference/master data.
Data ManagementDSAR ReviewFactor analysisDiscrepancy resolution+16
