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Banking Data Analyst Internship Jobs (NOW HIRING)

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

Tier4 Group

Banking Data & Analytics SME

Atlanta, GA · On-site

Banking Data & Analytics Subject Matter Expert (SME) We are seeking a seasoned Banking Data & Analytics Subject Matter Expert (SME) to support a major banking transformation initiative. This ...

Equaryon

Data Analyst Internship

Manhattan, NY · On-site

Hands‑on experience turning raw data into analysis used in live mandates. * Exposure to deal processes and financial modelling workflows. * Skill growth with Excel, data wrangling and visualisation ...

Gartner

Interns work closely with IPA leadership to structure problems, identify data sources, perform analysis, and communicate findings. Projects will include collaborative, team-based work as well as ...

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Banking Data Analyst Internship information

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How much do banking data analyst internship jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for banking data analyst internship in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

What is a banking data analyst internship?

A Banking Data Analyst Internship is a temporary, entry-level position where interns work within a bank's analytics or data department. Interns typically assist with collecting, cleaning, and analyzing financial data, generating reports, and supporting business decisions with data-driven insights. This role provides hands-on experience with data tools, financial datasets, and industry practices, helping interns build valuable skills for a career in banking or data analysis. Interns may also collaborate with different teams and learn about regulatory requirements specific to the banking sector.

How do banking data analyst interns typically collaborate with other teams within a bank?

Banking Data Analyst Interns frequently work alongside teams such as risk management, compliance, IT, and business operations. They gather requirements from business stakeholders, help translate those needs into data-driven insights, and often present findings to non-technical colleagues. Collaboration may involve participating in meetings, sharing dashboards or reports, and supporting ongoing projects, which helps interns develop communication and teamwork skills critical for advancing in the banking sector.

What are the key skills and qualifications needed to thrive as a banking data analyst intern, and why are they important?

To thrive as a Banking Data Analyst Intern, you generally need strong analytical skills, a background in finance, statistics, or a related field, and proficiency in data analysis. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of statistical programming languages like Python or R, is highly valuable. Attention to detail, effective communication, and a collaborative mindset are crucial soft skills for interpreting data and presenting insights to diverse teams. These competencies enable interns to accurately analyze financial data, support strategic decision-making, and contribute meaningfully to banking projects.

What is the difference between Banking Data Analyst Internship vs Banking Data Analyst?

AspectBanking Data Analyst InternshipBanking Data Analyst
Required CredentialsTypically pursuing or recent graduate in finance, economics, or related fieldsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship programs within banks or financial institutions, often temporaryFull-time role within banks, financial firms, or consulting companies
Employer & Industry UsageUsed by banks to train and evaluate potential future employeesUsed for ongoing data analysis, reporting, and decision support in banking

The main difference is that a Banking Data Analyst Internship is a temporary training position aimed at gaining experience, while a Banking Data Analyst is a full-time role with ongoing responsibilities. Internships often serve as a stepping stone to full analyst positions in the banking industry.

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Banking Data Analyst Internship jobs near you
Infographic showing various Banking Data Analyst Internship job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

Business Data Analyst in Banking Domain

Austin, TX • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

Contractor

Posted 29 days ago

Job description

Position: Business Data Analyst in Banking Domain

Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) 

Duration: Long-Term Contract

Experience: 12–15+ Years

Key Skills: Data Analysis, strong SQL, ETL, Reporting, Azure Cloud and LoanIQ experience is a plus

Job Summary:

We are seeking an experienced Senior Data Analyst with 12–15+ years of experience in the Banking domain. The ideal candidate will have strong expertise in data analysis, advanced SQL, ETL, reporting, Azure Cloud, and banking data environments.

Candidates should have strong knowledge of commercial banking and lending operations, including loan servicing, loan transactions, loan balances, payments, interest, fees, commitments, and related banking processes. LoanIQ experience is highly preferred.

The candidate will work closely with banking business teams, data engineering teams, application teams, and reporting stakeholders to analyze complex banking data, ensure data quality, support reporting requirements, and deliver actionable insights.

Key Responsibilities:

  • Perform advanced data analysis across banking and lending datasets.
  • Analyze commercial banking data related to loans, loan accounts, commitments, payments, balances, interest, fees, and transactions.
  • Develop complex SQL queries to extract, analyze, reconcile, and validate banking data.
  • Analyze large datasets to identify data trends, discrepancies, anomalies, and data-quality issues.
  • Work with business stakeholders to understand banking requirements and translate them into data and reporting solutions.
  • Analyze data from banking applications and source systems supporting commercial lending and banking operations.
  • Develop and validate ETL/ELT processes for banking data.
  • Perform source-to-target validation, data reconciliation, data mapping, and data-quality analysis.
  • Support development and maintenance of banking reports and operational reporting.
  • Validate data used for loan, account, transaction, payment, and portfolio reporting.
  • Investigate data discrepancies and perform root-cause analysis across banking systems.
  • Support data migration, integration, and conversion activities involving banking applications.
  • Work with Microsoft Azure cloud-based data platforms and banking data environments.
  • Collaborate with data engineers, developers, business analysts, QA teams, and banking subject-matter experts.
  • Support SIT/UAT by performing data validation, reconciliation, defect analysis, and reporting verification.
  • Prepare technical and functional documentation including data mappings, business rules, data definitions, source-to-target mappings, and reporting specifications.
  • Ensure banking data follows established data governance, data quality, security, and audit standards.

Required Technical Skills:

  • 12–15+ years of experience in Data Analysis / Data Analytics.
  • Strong and recent Banking domain experience.
  • Advanced SQL skills.
  • Strong experience with ETL/ELT processes.
  • Strong experience in data analysis, data validation, reconciliation, and data quality.
  • Strong experience with reporting and business intelligence.
  • Experience working with Microsoft Azure cloud technologies.
  • Strong understanding of relational databases, data warehouses, data models, and enterprise banking data.
  • Experience working with large-scale banking datasets.
  • Strong analytical and problem-solving capabilities.
  • Excellent communication and stakeholder-management skills.