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Investment Banking Data Analyst Jobs (NOW HIRING)

Analyst Department: Investment Banking Reports To: Vice President, Investment Banking FLSA Status ... data room management and due diligence processes across buyer, seller, and legal teams Support ...

Investment Banking Analyst We are currently partnered with a leading investment bank focused in the ... Ability to research and analyze industry and company data, trends and news to draw thoughtful and ...

Support investment decisions with clear, data-driven analysis Project Finance Support * Assist in ... Investment Banking background * Strong technical skillset with willingness to do the detailed work

Investment Banking Analyst Responsibilities * Support execution of M&A, debt and equity capital raises, and strategic advisory engagements. * Build and maintain detailed financial models, including ...

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Investment Banking Data Analyst information

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$82.6K

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

As of Jul 26, 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.

How much does a JP Morgan IB analyst make?

An Investment Banking Analyst at JP Morgan typically earns a base salary of around $85,000 to $100,000 per year, with total compensation including bonuses often reaching $125,000 to $150,000 in the first year. Compensation varies based on location, experience, and performance, and analysts usually work long hours in a demanding environment. Entry-level analysts often receive additional benefits and opportunities for advancement.

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 field is the highest paid data analyst?

Data analysts working in the finance and investment banking sectors tend to have the highest salaries due to the complexity and value of financial data. Specializing in areas like quantitative analysis, risk management, or using advanced tools such as SQL, Python, or R can also increase earning potential in this field.

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 financial data, identifying trends, and supporting decision-making. Proficiency in tools like Excel, SQL, and data visualization software enhances effectiveness in tasks such as valuation, risk assessment, and market analysis.

What are the key skills and qualifications needed to thrive as an Investment Banking Data Analyst, and why are they important?

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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but investment banking data analysts play a critical role in interpreting complex financial data, making strategic recommendations, and understanding market context. Human expertise remains essential for nuanced analysis, relationship building, and decision-making that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in investment banking.
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:
What job categories do people searching Investment Banking Data Analyst jobs look for? The top searched job categories for Investment Banking Data Analyst jobs are:
Infographic showing various Investment Banking Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Investment Banking Data & Analytics - Vice President

Investment Banking Data & Analytics - Vice President

JPMorgan Chase & Co

Manhattan, NY • On-site

Full-time

Medical, Retirement

Posted 15 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

71st of 170 rated banks


Job description

Drive innovation in Investment Banking by designing, building, and scaling data products and pipelines for analytics and AI/ML.


As an Investment Banking Data & Analytics Vice President, you will play a hands-on, product-oriented role in converting domain needs into governed, reliable data assets with clear contracts, SLAs, and measurable outcomes. You will partner across business, technology, and platform teams to deliver actionable insights via APIs, marts, dashboards, and notebooks, enabling advanced analytics and AI/ML capabilities.

Key Responsibilities

  • Own a portfolio of IB data products: vision, backlog, roadmap, releases; define data contracts, quality SLAs, and operating KPIs.
  • Build and operate batch/streaming pipelines using platform capabilities; enforce schema management, testing, observability, and cost/performance optimization.
  • Enable AI/ML: provision features and labeled datasets via feature stores and governed marts; integrate with MLOps
  • Deliver data products and insights through consumption channels (APIs/data services, SQL endpoints, dashboards, notebooks); design domain semantic layers for common IB analytics.
  • Apply governance and controls: stewardship, cataloging, lineage, entitlements; protect sensitive data with masking/tokenization/entitlements and regulatory compliance.
  • Engage stakeholders to prioritize use cases and communicate outcomes; partner with architecture/platform teams to leverage strategic capabilities.
  • Provide technical leadership and mentorship (code reviews, delivery standards, continuous improvement).

Required Qualifications

  • Bachelor's in computer science, Data Science, Engineering, Finance; advanced degree a plus.
  • 8+ years in data engineering and/or data product development in financial services with production delivery.
  • Proficiency: Product Thinking; Experience with Databricks/Snowflake; Data Products Buildout
  • Strong grasp of data governance, quality, compliance; experience enabling AI/ML workloads.
  • Familiarity with IB domains (deal lifecycle, client coverage, pipeline/execution, fee/revenue analytics).
  • Excellent communication; outcome-focused and hands-on.

Preferred Qualifications

  • Domain-driven models and semantic layers; lakehouse formats (Delta/Iceberg); data observability.
  • Data mesh/product thinking; privacy-enhancing techniques.

Why Join Us

  • Build data products that materially improve IB decision-making.
  • Work at the intersection of business, data, and AI/ML with clear ownership and impact.
  • Competitive compensation and benefits.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors.
Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.

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