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Bank Data Analyst Jobs (NOW HIRING)

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to ... Data Analysis (40%) * Conduct exploratory data analysis to identify trends, patterns, and ...

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to ... Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for ...

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to ... Data Analysis (40%) * Conduct exploratory data analysis to identify trends, patterns, and ...

Data Analyst Banking (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms.

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

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Bank Data Analyst information

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$34K

$82.6K

$136K

How much do bank data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for bank 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 bank data analyst do?

A Bank Data Analyst is responsible for collecting, processing, and analyzing financial data to help banks make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and generate reports for management. Their work supports areas such as risk management, customer analytics, regulatory compliance, and product development. By translating complex data into actionable insights, they play a crucial role in optimizing banking operations and strategies.

What are the key skills and qualifications needed to thrive as a bank data analyst?

To thrive as a Bank Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as finance, economics, or data science. Familiarity with data analysis tools like SQL, Python, Excel, and business intelligence platforms, as well as certifications in data analytics, are commonly required. Attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These skills and qualities are vital for interpreting complex financial data accurately and delivering actionable insights to drive informed decision-making in banking operations.

How does a bank data analyst typically collaborate with other departments within a financial institution?

Bank Data Analysts frequently work alongside teams in risk management, compliance, marketing, and IT to ensure data-driven decisions are made across the institution. They help translate complex data findings into actionable insights for these departments, often participating in cross-functional meetings and projects. Effective communication and teamwork are essential, as analysts must understand the needs of different business units and present their analyses in a way that supports strategic objectives.

What is the difference between Bank Data Analyst vs Credit Analyst?

AspectBank Data AnalystCredit Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; data analysis certificationsBachelor's in Finance, Economics, or related field; financial analysis certifications
Work EnvironmentBanking institutions, financial servicesBanking, lending institutions, credit departments
Employer & Industry UsageUsed for analyzing banking data, customer trends, risk assessmentUsed for evaluating creditworthiness, loan approvals, risk analysis

Both roles involve financial analysis within banking environments, but a Bank Data Analyst focuses on analyzing banking data and customer trends, while a Credit Analyst specializes in assessing credit risk and approving loans. They share similar credentials and work settings, making them closely related but distinct in their primary functions.

More about Bank Data Analyst jobs

What cities are hiring for Bank Data Analyst jobs?

Cities with the most Bank Data Analyst job openings:

What states have the most Bank Data Analyst jobs?

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

Infographic showing various Bank 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst - WI

Bankers' Bank

Madison, WI • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to assisting community banks with their payment and financial service needs and 45 years of dedication to our community bank partners. In addition to specializing in providing correspondent banking products and services to community banks we also provide bank holding company loans, commercial loans, leasing, secondary mortgage products, cash letter/cash management, investment trading, safekeeping and portfolio accounting, correspondent credit services, international services, bank card products, and risk management solutions. Bankers' Bank has offices in Madison, WI, Des Moines, IA, Chicago, IL, Indianapolis, IN and Dublin, OH.
Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for advancing the Bank's data-driven capabilities by translating centralized data into actionable business insights. The role supports Product Owners and Business Leadership to develop innovative data solutions, perform exploratory analysis, and validate business assumptions.
Data Analysis (40%)
  • Conduct exploratory data analysis to identify trends, patterns, and segmentation opportunities across customers, products, and markets
  • Translate business questions into data-driven analysis and actionable insights
  • Collaborate with business units to understand project objectives and deliver analytical solutions
  • Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines
  • Validate assumptions and support decision-making through data

Data Enablement & Accessibility (30%)
  • Support internal stakeholders and users within the organization to access, interpret, and utilize data tools
  • Improve the accessibility, usability, and consistency of data tools and reporting solutions
  • Develop reports, dashboards, and other analytical tools to support business needs
  • Support training and education efforts to improve data literacy within the organization
  • Lead implementation and adoption of analytical tools and best practices

Data Governance & Quality (20%)
  • Establish and maintain data structures, quality standards, and governance practices
  • Identify data quality issues and partner with stakeholders to troubleshoot and implement improvements
  • Promote consistent use of well-managed, reliable data sources across business units

Advanced Analytics Support (10%)
  • Contribute to foundation work that supports the expansion of data science and machine learning initiatives
  • Assist in developing analytical approaches and preparing data for more advanced modeling initiatives

Ideal candidates will possess a bachelor's degree in data analytics, business, finance, statistics, computer science, or other relation field/ equivalent combination of education and experience sufficient to perform the functions of the job. Two to four years of experience in data analysis, business intelligence, analytics, or a related role. Experience working with data tools, reporting platforms, and dashboards (i.e., Zoho, Tableau, PowerBI, Domo, QuickSight, etc.). Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL). Familiarity with data structures, data governance, and data quality concepts. Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics/business intelligence certiciations (i.e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data+, etc.).