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Investment Banking Data Analyst Jobs (NOW HIRING)

Looking for Permanent / Visa Independent Consultants We are seeking an experienced Data Analyst with a strong background in the banking and financial services domain. The ideal candidate will bring ...

The Investment Banking Analyst role is a generalist position supporting transaction execution and business development across sell-side and buy-side M&A, private capital placements, and ESOP advisory ...

The Investment Banking Analyst role is a generalist position supporting transaction execution and business development across sell-side and buy-side M&A, private capital placements, and ESOP advisory ...

The Investment Banking Analyst role is a generalist position supporting transaction execution and business development across sell-side and buy-side M&A, private capital placements, and ESOP advisory ...

Investment Banking Analyst

Manhattan, NY ยท On-site

$90K - $100K/yr

Investment Banking Analyst (Immediate Hire) We're looking for diligent, coachable, and determined financial services professionals who have already started their careers at major investment banks ...

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Investment Banking Data Analyst information

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$34K

$82.6K

$136K

How much do investment banking data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for investment banking 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 is the difference between Investment Banking Data Analyst vs Equity Research Analyst?

AspectInvestment Banking Data AnalystEquity Research Analyst
Required CredentialsBachelor's degree in finance, economics, or related field; proficiency in data analysis toolsBachelor's degree in finance, economics, or related field; strong analytical skills
Work EnvironmentFast-paced investment banking firms, working on financial models and data analysisResearch firms, investment banks, analyzing company financials and market trends
Employer & Industry UsageInvestment banks, financial advisory firmsEquity research firms, investment banks, asset management companies

While both roles require strong analytical skills and finance knowledge, Investment Banking Data Analysts focus on supporting deal processes with data analysis, whereas Equity Research Analysts analyze stocks and market trends to provide investment recommendations.

What does an investment banking data analyst do?

An Investment Banking Data Analyst is responsible for collecting, analyzing, and interpreting financial data to support investment banking activities such as mergers and acquisitions, underwriting, and financial advisory services. They use advanced statistical and analytical techniques to identify trends, evaluate company performance, and prepare reports and presentations for clients and senior bankers. Their insights help inform critical business decisions and strategies within investment banks. Strong technical skills in data analysis tools and financial modeling are essential for this role.

Is data analytics good for investment banking?

Data analytics is highly valuable for investment banking analysts as it helps in analyzing large financial datasets, identifying trends, and supporting decision-making. Proficiency in tools like Excel, SQL, and data visualization software enhances their ability to evaluate investments and market opportunities efficiently.

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

To thrive as an Investment Banking Data Analyst, you need strong quantitative analysis skills, a solid understanding of finance and accounting principles, and at least a bachelor's degree in a related field. Proficiency in Excel, SQL, financial modeling software, and data visualization tools like Tableau or Power BI is typically required. Exceptional attention to detail, critical thinking, and the ability to communicate complex insights clearly are vital soft skills for this role. These competencies enable analysts to deliver accurate, actionable data that drives informed decision-making and maximizes value for clients and stakeholders.

What are some common challenges faced by investment banking data analysts in managing large datasets?

Investment Banking Data Analysts often work with vast and complex financial datasets, which can present challenges such as ensuring data accuracy, consistency, and security. Navigating multiple databases and integrating information from various sources requires strong attention to detail and advanced technical skills. Additionally, tight deadlines and the fast-paced nature of investment banking can add pressure to deliver high-quality analysis quickly. Collaborating closely with bankers, traders, and IT teams is essential to address data discrepancies and support informed decision-making.
More about Investment Banking Data Analyst jobs

What cities are hiring for Investment Banking Data Analyst jobs?

Cities with the most Investment Banking Data Analyst job openings:

What states have the most Investment Banking Data Analyst jobs?

States with the most job openings for Investment Banking Data Analyst jobs include:

Infographic showing various Investment Banking Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst with Investment Banking

Accord Technologies Inc.

New York, NY โ€ข On-site

Contractor

Re-posted 29 days ago


Job description

Data Analyst with Investment Banking Experience
New York City, NY (Need Onsite day 1,
 Hubrid 3 days from office)
Position type" W2 contract

Job Description:
We are looking for a Data Analyst to join our Investment Banking (IB) Reporting team, supporting key initiatives focused on data migration, reconciliation, reporting, and process improvement. The ideal candidate will have strong analytical skills, hands-on experience with reporting tools, and the ability to work proactively in a fast-paced financial services environment.
 
The Role
Responsibilities:
  • Support data migration projects from legacy reporting platforms to modern reporting and analytics systems
  • Perform data reconciliation and validation to ensure accuracy, completeness, and consistency of data across systems
  • Analyze complex datasets and provide insights to support business reporting requirements
  • Develop and maintain BI reports, dashboards, and analytics solutions using tools such as Power BI, Cognos, or similar platforms
  • Write and optimize SQL queries for data extraction, validation, and reporting needs
  • Partner with stakeholders to understand reporting requirements and deliver effective data solutions
  • Identify opportunities for automation, process improvements, and operational efficiencies
  • Ensure high standards of data quality and support issue investigation and resolution
  • Communicate findings, risks, and progress clearly to business and technology teams
Requirements:
  • Strong data analysis and data interpretation skills
  • Experience in BI reporting and analytics, with hands-on knowledge of Power BI, Cognos, or similar tools
  • Proven experience in data migration and reconciliation projects
  • Strong knowledge of SQL and data validation techniques
  • Exposure to automation initiatives and process improvement programs
  • Excellent communication and stakeholder management skills
  • Proactive, detail-oriented, and able to work independently as well as collaboratively
  • Strong problem-solving skills with a focus on accuracy and efficiency
  • Relevant experience in Investment Banking or Financial Services
  • Understanding of reporting processes, controls, and data governance in a regulated environment
  • Familiarity with legacy-to-modern platform migration projects within reporting or analytics functions