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Investment Data Analyst Jobs (NOW HIRING)

Vangard, Inc.

Junior Investment Data Analyst

Malvern, PA · On-site

Join Vanguard's Investment Data Operations team and become the trusted source behind the investment ... Research and analyze data exceptions with internal/external data suppliers and partners. Maintain ...

T. Rowe Price

$122 - $261/hr

## Lead Data Analyst- Investment Data Strategy (Washington DC or Baltimore, MD)Applylocations: Washington DC: Baltimore, MDtime type: Full timeposted on: Posted Todayjob requisition id: 83070At T. Rowe ...

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How much do investment data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for investment data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an investment data analyst do?

An Investment Data Analyst collects, processes, and analyzes financial data to support investment decisions. They work with large datasets, using statistical tools and software to identify trends and insights. Their role involves ensuring data accuracy, building financial models, and generating reports for portfolio managers and stakeholders. Strong analytical skills and proficiency in programming languages like Python or SQL are often required.

What are the key skills and qualifications needed to thrive as an investment data analyst?

To thrive as an Investment Data Analyst, you need strong quantitative analysis skills, proficiency in financial modeling, and a degree in finance, economics, statistics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages (such as Python, R, or SQL), and industry certifications like CFA or FRM can be highly advantageous. Attention to detail, critical thinking, and the ability to communicate complex data insights to both technical and non-technical stakeholders are essential soft skills. These competencies help ensure accurate, actionable investment insights and effective collaboration in dynamic finance environments.

What does a typical day look like for an investment data analyst?

As an Investment Data Analyst, your day often involves gathering and cleaning large financial datasets, conducting quantitative analyses to evaluate investment opportunities, and preparing detailed reports or visualizations for portfolio managers and decision-makers. You may collaborate closely with analysts from different departments, attend team meetings to discuss market trends, and use specialized financial software to model scenarios. Regular responsibilities also include monitoring portfolio performance, researching industry news, and identifying data-driven insights to support strategic investment decisions. The role is dynamic and analytical, providing continuous learning opportunities and exposure to various asset classes.

Do investment data analysts make good money?

Investment data analysts typically earn competitive salaries that vary based on experience, education, and location. According to industry reports, median annual pay ranges from $60,000 to $90,000, with higher earnings possible for those with advanced skills in data analysis tools and financial modeling. Certifications like CFA or CFA Level I can also enhance earning potential.

What is the role of an investment data analyst?

An investment data analyst is responsible for collecting, analyzing, and interpreting financial data to support investment decisions. They use tools like Excel and data analysis software to identify trends, assess risks, and provide insights to portfolio managers and stakeholders. Strong analytical skills and knowledge of financial markets are essential for this role.
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Investment Data Analyst jobs near you
Infographic showing various Investment Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Junior Investment Data Analyst

Vangard, Inc.

Malvern, PA • On-site

Full-time

Posted 24 days ago

Job description

Join Vanguard's Investment Data Operations team and become the trusted source behind the investment data that fuels critical business and investment decisions. In this role, you'll investigate complex data challenges, uncover root causes, strengthen operational processes, and transform millions of data points into trusted gold-copy investment data used across the enterprise.

If you thrive in solving puzzles, driving continuous improvement, and collaborating across a broad network of partners, this is your opportunity to make a visible impact every single day.

You will:

  • Complete complex tasks while working under tight deadlines, managing competing priorities, and analyzing multiple inputs to meet operational objectives. Research and analyze data exceptions with internal/external data suppliers and partners. Maintain system and business controls to ensure data integrity and approved data distribution to the enterprise.

  • Execute and analyze a wide variety of daily and periodical data reporting and quality control queries in a timely and accurate manner. Provide advanced troubleshooting and problem resolution in identifying issues/trends in reports or source systems. Provide ongoing reporting to fulfill the needs of both regulatory bodies and internal partners, as needed.

  • Recognize improvement opportunities based on process knowledge and recommend and implement proper solutions to gain efficiencies and ensure quality.

  • Perform root cause analysis of data errors and provide short-term and long-term solutions for issues, elevating issues when appropriate.

  • Build a strong network and share knowledge and experience. Proactively engage and work collaboratively with colleagues across the fund ecosystem and the enterprise to improve and sustain global operational processes.

  • Develop a strong and consistent knowledge of the funds and securities assigned and understands the details driving the global operational processes and the downstream impacts. Leverage product and operational knowledge to aid in the production of gold-copy data.

  • Provide project support by participating in acceptance and regression testing, system monitoring, and other project-related activities as needed. Monitor and ensures data quality by using existing business knowledge to create test cases and monitoring reports that ensure data accuracy and completeness.

  • Create, maintain, and improve procedures and workflows. Identify and escalate potential control gaps in a timely manner to ensure resolution and to lessen impact.


Qualifications

  • Undergraduate degree (preferably in accounting, finance, economics, or related field)

  • Minimum of three years relevant work experience with financial and investments industry experience required

  • Strong analytical ability capabilities, research, problem solving, and time management skills required

  • Strong, demonstrated problem identification, analysis, and resolution skills

  • Working knowledge of SQL, Python, Github and Claude is a significant plus

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

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.

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