Junior Investment Data Analyst: Data Quality & Insights

Vanguard; Malvern (Chester County); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Vanguard's Investment Data Operations team in Malvern, PA is seeking a data operations professional to produce timely gold-copy investment data and drive process improvements across data domains.

In this role, you'll investigate complex data challenges, perform QA on reports, collaborate with internal and external data partners, and transform millions of data points into trusted data used across the enterprise.

Qualifications

• Undergraduate degree in accounting, finance, economics, or related field.
• Minimum three years of relevant work experience in financial/investments industry.
• Strong analytical, research, problem solving and time management skills.
• Working knowledge of SQL, Python, Github; Claude is a plus.

Responsibilities

• Complete complex tasks under tight deadlines, manage competing priorities, and analyze multiple inputs to meet objectives.
• Research and analyze data exceptions with data suppliers and partners; maintain data integrity and approved data distribution.
• Execute and analyze daily and periodic data reporting and quality control queries; provide advanced troubleshooting and issue resolution.
• Identify improvement opportunities and implement solutions to gain efficiencies and ensure quality.
• Perform root cause analysis and elevate issues when appropriate.
• Build a strong knowledge of funds and securities; support production of gold-copy data.
• Provide project support by participating in testing, monitoring, and reporting activities.
• Create and improve procedures and workflows; elevate control gaps for timely resolution.

Skills

Analytical ability

Research

Problem solving

Time management

SQL

Python

Github

Claude

Education

Bachelor's degree

Job description

Vanguard's Investment Data Operations team in Malvern, PA is seeking a data operations professional to produce timely gold-copy investment data and drive process improvements across data domains.

In this role, you'll investigate complex data challenges, perform QA on reports, collaborate with internal and external data partners, and transform millions of data points into trusted data used across the enterprise.