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Investment Banking Data Analyst Jobs in Rochester, MN

mgx

Credit Analyst Lead

Saint Charles, MN · On-site

Merchants Bank is seeking a Credit Analyst Lead. This on-site position can work at any of our ... data analysis highlighting borrowing entity key ratios and financial trends, as well as efficiently ...

Danaher

Digital Analyst Internships

Rochester, MN · On-site

$96K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Our culture celebrates diverse backgrounds and perspectives, and we invest in your career growth ...

Mayo Clinic

Business Analyst MCP

Rochester, MN · On-site

Performs data analysis, defines and documents business requirements, supports translation to ... investing in competitive compensation and comprehensive benefit plans - to take care of you and ...

Mayo Clinic

Business Analyst MCP

Rochester, MN · On-site

Performs data analysis, defines and documents business requirements, supports translation to ... investing in competitive compensation and comprehensive benefit plans - to take care of you and ...

Mayo Clinic

Surgical Process Analyst

Rochester, MN · On-site

$71K - $107K/yr

... investing in competitive compensation and comprehensive benefit plans - to take care of you and ... Strong computer knowledge and experience to facilitate data analysis on, but not limited to the ...

New

Old National Bank

Relationship Banker

Saint Charles, MN · On-site

$17 - $29.75/hr

... Investments, Small Business, Treasury Management, Merchant Services, Private Banking, Wealth ... analysis and understanding of information received from other internal departments such as Loan ...

Old National Bank

Relationship Banker

Saint Charles, MN · On-site

$17 - $29.75/hr

... Investments, Small Business, Treasury Management, Merchant Services, Private Banking, Wealth ... analysis and understanding of information received from other internal departments such as Loan ...

Mayo Clinic

Business Analyst MCP

Rochester, MN · On-site

$80K - $112K/yr

Examines costs, benefits and risks associated with the proposed investment/project and recommends ... Performs data analysis, defines and documents business requirements, supports translation to ...

Mayo Clinic

Business Analyst-Hybrid

Rochester, MN · On-site

$72K - $112K/yr

Examines costs, benefits and risks associated with the proposed investment/project and recommends ... Performs data analysis, defines and documents business requirements, supports translation to ...

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Showing results 41-60

All JobsInvestment Banking Data Analyst JobsInvestment Banking Data Analyst Jobs in Rochester, MN

Investment Banking Data Analyst information

See Rochester, MN salary details

$33.2K

$80.7K

$132.8K

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

As of Aug 13, 2026, the average yearly pay for investment banking data analyst in Rochester, MN is $80,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 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.
What job categories do people searching Investment Banking Data Analyst jobs in Rochester, MN look for? The top searched job categories for Investment Banking Data Analyst jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Investment Banking Data Analyst jobs? Cities near Rochester, MN with the most Investment Banking Data Analyst job openings:
Investment Banking Data Analyst jobs near you
Infographic showing various Investment Banking Data Analyst job openings in Rochester, MN as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,680 per year, or $38.8 per hour.

Lead Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN • On-site

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 698 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions. Excellent analytic skills associated with working on unstructured datasets. Understand the architecture, be a team player, lead technical discussions and communicate the technical discussion. Be a senior Individual contributor of the Data or Software Engineering teams. Be part of Technical Review Board along with Manager and Principal Engineer. Be a technical liaison between Manager, Software Engineers and Principal Engineers. Collaborate with software engineers to analyze, develop and test functional requirements. Serve as a hands-on technical leader who actively designs, develops, reviews, and optimizes production-grade data pipelines, data products, and platform capabilities. Maintain significant contribution to production codebases while establishing engineering standards, mentoring team members, and driving delivery of scalable, resilient solutions. Mentor and Coach Engineers. Work with team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work in an Agile/Safe/Scrum environment to deliver high quality software. Establish architectural principles, select design patterns, and then mentor team members on their appropriate application. Facilitate and drive communication between front-end, back-end, data and platform engineers. Play a formal Engineering lead role in the area of expertise. Keep up-to-date with industry trends and developments.


Key Responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.


Qualifications

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

Exemption Status
Exempt
Compensation Detail
$148,137.60 - $214,760.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F daytime hours 100% remote role, the employee needs to live within the US.
Weekend Schedule
As business needs dictate
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Laura PercivalQualifications:

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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