Senior Investment Data Analyst

Overview

In this role you ensure ESG investment data is accurate, timely, and fit for purpose across Vanguard. You will work with cross-functional stakeholders to support regulatory compliance, product development, and investment management through robust data operations and controls. You’ll investigate data quality issues, collaborate with data suppliers, and drive improvements to data processes and resilience. This position offers the chance to shape ESG data services at scale within a mission-driven, collaborative environment.

Responsibilities

• Acquire, validate, manage and distribute ESG investment data and analytics to consumers across Vanguard
• Execute and enhance operational processes and controls to ensure data accuracy, timeliness, completeness, and fitness for purpose
• Investigate and resolve complex data quality issues, workflow exceptions and stakeholder inquiries within service expectations
• Identify data quality and timeliness issues, determine root causes, and coordinate with internal teams and suppliers to resolve them
• Use SQL, Python and other data tools to analyse large datasets, automate repeatable tasks and strengthen operational controls
• Build and maintain relationships with data consumers, stakeholders, technology partners and external data suppliers
• Support ESG data stewardship activities (definitions, metadata, lineage, trusted sources, control design, process documentation)
• Monitor operational risks and control effectiveness, escalate material issues and identify improvement opportunities
• Support audits, regulatory reviews, issue remediation and risk management for ESG data processes
• Contribute to business and technology change initiatives (new datasets, data products, process improvements, testing, automation, platform enhancements)
• Anticipate consumer needs and assess operational impact of new or changing ESG data requirements
• Develop expertise in ESG data, sustainable investing, financial markets, data providers and regulatory requirements
• Contribute to an engaged, inclusive team culture through collaboration, knowledge sharing, training and coaching

Key requirements

• Experience in investment operations, investment data management, ESG data, market data or related financial services environment
• Strong analytical and problem-solving skills, including root-cause analysis
• Experience executing and improving operational processes, controls and procedures
• Excellent communication and stakeholder relationship management across business, operations, and technology teams
• Experience using data analysis techniques and tools to work with complex datasets and resolve data quality or service issues
• Ability to work independently, exercise sound judgement and meet demanding deadlines
• Strong organisation, attention to detail and ability to manage varied workload
• Curiosity and willingness to develop expertise in ESG data and regulatory requirements

• Excellent communication
• Stakeholder relationship management
• Problem-solving and analytical thinking
• SQL (querying, joining, validating data)
• Python for data analysis and automation
• Microsoft Excel for data analysis and presentation

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