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Investment Data Analyst, Senior Associate

The Vanguard Group
1 day ago
Full-time
On-site
Dublin, Ireland
Are you passionate about the power of high‑quality data in driving world‑class investment decision‑making?

Do you thrive in a fast‑paced environment where accuracy, collaboration, and continuous improvement are at the heart of what you do?
We’re looking for a detail‑driven Investment Data Analyst to join our growing Data Management team. In this role, you’ll help produce the “gold copy” investment data that powers critical processes across our global organisation—ensuring our teams and clients can rely on timely, accurate, and trusted information every single day.

What You’ll Do

As an Investment Data Analyst, you will play a key role in delivering high‑quality static and dynamic data across internal systems, third‑party providers, and our enterprise platforms. Your work will directly support investment operations, regulatory reporting, data governance, and strategic decision‑making.

Your core responsibilities will include:

  • Deliver high‑quality investment data

Produce timely, accurate gold‑copy data across your assigned domains. Research and resolve complex data exceptions, analyse multiple inputs, and maintain strong data controls.

  • Run and analyse data quality & control reports

Execute daily and periodic checks, troubleshoot issues, identify trends, and escalate concerns as needed. Ensure data feeds are accurate, complete, and delivered within agreed SLAs.

  • Improve operational processes

Identify inefficiencies and recommend solutions. Perform root‑cause analysis and help implement both short‑ and long‑term fixes to strengthen data quality.

  • Collaborate across the enterprise

Work closely with teams across FFS, IMG, and broader business areas to enhance end‑to‑end data processes. Build your network and share best practices.

  • Develop subject‑matter expertise

Build deep knowledge of the funds, securities, and investment products within your remit. Leverage this expertise to enhance data accuracy and operational insight.

  • Support projects & testing

Participate in system testing, regression testing, and monitoring activities. Use your business knowledge to design test cases and validate data outputs.

  • Strengthen governance & controls

Maintain and improve data management procedures, workflows, and documentation. Flag control gaps and ensure compliance with internal standards.

  • Manage critical data sources

Gather, validate, and maintain key static and dynamic data attributes. Coordinate with third‑party data vendors and support audit requirements.

What You Need:

  • Proven experience in financial data operations or investment data management.
  • Bachelor's degree (B.E./B.Tech) in relevant fields such as Computer Science, IT, or Software Engineering, Finance and Economics or a Master's degree/Diploma in Computer Science. Graduate degree preferred.
  • Strong skills in data quality assurance, root cause analysis, data feed monitoring, investment product knowledge, control/audit compliance, and collaboration with internal and external stakeholders.
  • Ability to work under tight deadlines, manage competing priorities, and analyse complex datasets
  • Excellent communication, collaboration, and stakeholder engagement skills
  • A mindset geared toward continuous improvement, innovation, and data governance excellence

Why Join Us?

You’ll be part of a collaborative global team shaping the future of data excellence in investment management. If you’re analytical, curious, detail‑oriented, and motivated by the challenge of delivering high‑quality data that underpins critical business decisions, this is the place for you.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.