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Investment Banking Data Analyst Jobs in Wisconsin

Job Type Full-time Description About MLG Capital MLG Capital is a private real estate investment ... This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics ...

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Investment Banking Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

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

As of May 28, 2026, the average yearly pay for investment banking data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

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.

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.

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 are popular job titles related to Investment Banking Data Analyst jobs in Wisconsin? For Investment Banking Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Investment Banking Data Analyst jobs? Cities in Wisconsin with the most Investment Banking Data Analyst job openings:
Infographic showing various Investment Banking Data Analyst job openings in Wisconsin as of May 2026, with employment types broken down into 40% Full Time, 58% Part Time, 1% Temporary, and 1% Contract. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.
Data Analyst

Data Analyst

MLG Capital

Brookfield, WI โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Type
Full-time
Description
About MLG Capital
MLG Capital is a private real estate investment manager focused on delivering long-term, tax-efficient, risk-adjusted returns through diversified real estate strategies across the United States. As our platform continues to scale nationally, we are strengthening our data and reporting capabilities to drive operational efficiency, improve decision-making, and reduce the time required to produce core business insights.
This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm.
Role Overview
This position will serve multiple business lines, working closely with Asset Management, Portfolio Management, Acquisitions teams and more over time, to ensure that data-driven efficiencies are introduced wherever they are most needed. By collaborating across these areas, the Data Analyst will help deliver timely, accurate insights and empower each team to make more informed decisions and achieve their goals with greater speed, while working with the Data Engineering team and BI team to continue to deliver automated and scalable solutions.
The analyst will act as the data and process subject matter expert for these business lines, helping ensure our asset-level and portfolio-level data is complete, clean, and ready for faster reporting with reduced manual effort.
Key Responsibilities
Core Business Support

  • Act as the subject matter expert for data, workflows, KPIs, and reporting logic across Asset Management, Portfolio Management, Fund Accounting/Tax, and Acquisitions.
  • Proactively engage business stakeholders-including senior leadership-to gather, document, and align reporting requirements, data sources, and field definitions with organizational goals.
  • Partner with BI Developers and Data Engineering to deliver scalable, automated reporting solutions, resolve data gaps, and improve pipeline robustness.
Reporting and Data Management
  • Maintain and refresh recurring weekly, monthly, and quarterly reports, dashboards, and Excel/BI outputs for business consumption.
  • Clean, transform, and standardize data, ensuring quality through QA, reconciliation, exception detection, and report testing.
  • Implement data quality frameworks, validation rules, and monitoring processes to ensure analytics outputs are accurate, reliable, and consistent.
Process Improvement and Collaboration
  • Establish and manage structured project workflows, cross-functional collaboration, and effective communication across assigned initiatives.
  • Continuously review and enhance reporting workflows, data intake, and operational procedures to identify and eliminate inefficiencies and bottlenecks.
  • Map and recommend improvements for current- and future-state workflows to increase scalability, reduce manual effort, and promote operational excellence.
Documentation and Change Management
  • Document business logic, field definitions, DDL, KPI formulas, and reporting requirements to support knowledge sharing and process transparency.
  • Support change-management efforts to drive adoption and maintenance of new and enhanced data solutions.
  • Advocate for standardized data practices and collaborate on initiatives to enhance data completeness, accuracy, and auditability.
Analytics Advancement
  • Identify gaps in data feeds and scope new sources to advance analytics capabilities.
  • Recommend and implement enhancements that support the firm's strategic goals for data-driven decision-making.
Requirements
Skills & Qualifications
  • 2-5 years of experience as a Data Analyst or Reporting Analyst; real estate or financial services experience highly recommended.
  • Expert Excel skills and very strong with BI/reporting tools (Power BI preferred).
  • Ability to work with messy or incomplete data and improve it through cleansing and transformation.
  • Understanding of data modeling basics and data process flows.
  • Strong verbal and written communication skills, including translating business needs into data requirements.
  • Process-oriented mindset with passion for increasing efficiency and reducing manual work.
  • Comfortable working with both business stakeholders and technical teams.
  • Innate curiosity and critical thinking skills; thrives on solving complex problems and enjoys the challenge of unraveling data puzzles to uncover valuable insights.
  • Skilled at bridging the gap between technical and business perspectives, able to communicate effectively across teams and tailor solutions to meet real-world needs.
  • Self-motivated and energized by challenges; approaches obstacles as opportunities for creative solutions and continuous improvement.
  • Team-oriented mindset; values collaboration, celebrates collective wins, and contributes to a positive, high-performance culture.

Additional Notes:
Physical Requirements: Ability to operate office machinery; including but not limited to: telephone, computer, copy machine, fax machine, printer, and mobile phone. Ability to sit for extended periods (up to 4 hours) and use a computer for up to 8 hours per day. Ability to lift up to 10 pounds on an occasional basis.
Working Conditions: Open office workstation environment, quiet to moderate noise levels.
SEC Compliance: As MLG has a subsidiary Registered Investment Adviser, many employees are subject to SEC-mandated compliance requirements. As part of these requirements, employees must disclose personal brokerage accounts and financial holdings, for themselves and any household members whose investment activities they influence.
This information is collected solely for regulatory compliance and conflict of interest monitoring. All disclosures are handled with strict confidentiality and are accessible only to the Chief Compliance Officer and designated compliance personnel when a business or SEC related need arises
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.
In compliance with the Americans with Disabilities Act, a "reasonable accommodation" will be made for an individual with a known physical or mental limitation unless it would require an action of significant difficult causing undue hardship.
This document covers the most significant duties performed but does not exclude other occasional work assignments not mentioned.