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$136K

How much do capital markets data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for capital markets 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 a capital markets data analyst do?

A Capital Markets Data Analyst is responsible for gathering, analyzing, and interpreting financial data related to capital markets, such as stocks, bonds, and other securities. They help investment banks, asset managers, or financial institutions make informed decisions by providing insights from market trends, risk assessments, and performance metrics. Their work often involves using statistical tools, databases, and financial software to generate reports and support trading, investment, or regulatory activities. Strong quantitative skills and knowledge of financial markets are essential for this role.

What are the key skills and qualifications needed to thrive as a capital markets data analyst, and why are they important?

To thrive as a Capital Markets Data Analyst, you need a strong background in finance, economics, and quantitative analysis, usually supported by a relevant degree. Proficiency in data analytics tools such as Excel, SQL, Python, and financial market platforms like Bloomberg Terminal is commonly required. Strong attention to detail, problem-solving skills, and effective communication distinguish top performers in this role. These skills are crucial for accurately analyzing market data, generating insights, and supporting trading or investment decisions in fast-paced capital markets environments.

What are some common challenges faced by capital markets data analysts in managing large and complex data sets?

Capital Markets Data Analysts often encounter challenges such as integrating data from multiple sources, ensuring data accuracy, and keeping up with fast-paced market changes. Managing large volumes of real-time financial data requires strong analytical skills and attention to detail to identify trends and anomalies. Additionally, collaborating effectively with trading, risk, and technology teams is essential for providing timely insights and supporting decision-making processes. Developing proficiency with data visualization tools and programming languages can help address these challenges and support career growth.
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Capital Markets Data Analyst jobs near you
Infographic showing various Capital Markets 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.

Data Analyst / Product Analyst - Capital Markets

Long Finch Technologies

Fort Mill, SC • On-site

Full-time

Posted 4 days ago

Job description

We are seeking an experienced Data Analyst / Product Analyst with 10+ years of experience in Capital Markets, financial services, or banking environments. The ideal candidate will have strong hands-on expertise in SQL, Python, data analysis, and business data analysis, combined with experience supporting complex, multi-business and multi-system initiatives.

Responsibilities:

  • Perform business and data analysis using SQL and Python to identify trends, patterns, data issues, and actionable insights.
  • Analyze complex Capital Markets data and business processes across multiple businesses and systems.
  • Gather, manage, and document business/functional requirements, including user stories, use cases, acceptance criteria, and test scripts.
  • Develop customer journey maps and analyze business processes to identify gaps and opportunities for improvement.
  • Support design and solution-related activities for complex, multi-business, multi-system initiatives.
  • Work closely with Product Owners, business stakeholders, developers, QA, and technology teams within an Agile/Scrum environment.
  • Support product lifecycle development, including requirements, design, testing, implementation, and post-production activities.
  • Use Jira to manage requirements, user stories, backlog items, defects, and project deliverables.

Qualifications Required:

  • 10+ years of experience in Data Analysis, Business Analysis, Product Analysis, or a related field.
  • Strong hands-on experience with SQL and Python.
  • Strong Capital Markets domain experience; Banking/Financial Services experience is preferred.
  • Excellent analytical, problem-solving, and business data analysis skills.
  • Experience with requirements management, user stories, use cases, test scripts, and customer journey mapping.
  • Strong experience working in Agile/Scrum environments and using Jira.
  • Experience supporting complex, multi-business and multi-system initiatives with strong stakeholder communication skills.

Preferred Qualifications:

  • Experience in Banking or Financial Services.

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