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Banking Analytics Jobs (NOW HIRING)

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD

Ideal for early-career professionals in financial analytics. Key Responsibilities * Analyze banking and transaction data * Create dashboards using Tableau or Power BI * Write SQL queries for data ...

AaraTechnologies Inc

DATA ANALYST

Washington, DC · On-site

Ideal for early-career professionals in financial analytics. Key Responsibilities * Analyze banking and transaction data * Create dashboards using Tableau or Power BI * Write SQL queries for data ...

CSG Partners

Investment Banking Analyst

Manhattan, NY · On-site

$90K - $100K/yr

Investment Banking Analyst (Immediate Hire) We're looking for diligent, coachable, and determined financial services professionals who have already started their careers at major investment banks ...

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How much do banking analytics jobs pay per year?

As of Jun 19, 2026, the average yearly pay for banking analytics in the United States is $98,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is the role of analytics in banking?

Banking analytics involves analyzing financial data to improve decision-making, risk management, and customer insights. Banking analysts use tools like data visualization and statistical models to identify trends, detect fraud, and optimize operations, supporting strategic goals within financial institutions.

How much do banking analysts get paid?

Banking analysts typically earn a median annual salary ranging from $60,000 to $85,000, depending on experience, location, and the size of the financial institution. Entry-level analysts may start at lower salaries, while those with advanced skills in data analysis, financial modeling, and proficiency in tools like Excel or SQL can earn higher compensation, often supplemented with bonuses and benefits.

How does a Banking Analytics professional typically collaborate with other departments within a bank?

Banking Analytics professionals regularly work cross-functionally with teams such as risk management, marketing, operations, and IT. They provide data-driven insights that support strategic decision-making, like identifying trends in customer behavior or detecting potential fraud. Effective collaboration involves communicating complex analytical findings in a clear, actionable way to non-technical stakeholders. This teamwork ensures that data initiatives align with business goals and regulatory requirements, making strong communication and project management skills essential for success.

What is banking analytics?

Banking analytics refers to the process of collecting, analyzing, and interpreting large volumes of data generated by banking activities to gain insights and make informed business decisions. It involves using advanced tools and techniques, such as data mining, predictive modeling, and machine learning, to identify trends, manage risks, improve customer experience, and enhance operational efficiency. Professionals in this field help banks optimize products, detect fraud, and comply with regulations by transforming raw data into actionable intelligence.

What are the key skills and qualifications needed to thrive in Banking Analytics, and why are they important?

To thrive in Banking Analytics, a strong foundation in data analysis, financial modeling, and statistical techniques is essential, often supported by a degree in finance, statistics, or a related field. Proficiency in analytics tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI, as well as familiarity with banking systems and regulatory frameworks, is typically required. Critical thinking, attention to detail, and effective communication skills help professionals interpret data insights and present findings to stakeholders. These skills ensure accurate analysis, data-driven decision-making, and compliance with industry standards, which are vital for success in the banking sector.

What does a banking analyst do?

A banking analyst evaluates financial data, market trends, and credit reports to support banking decisions and risk management. They often use tools like Excel and financial modeling software and may prepare reports for management. Strong analytical skills and knowledge of banking regulations are essential for this role.

How much do bank analysts make in the US?

Bank analysts in the US typically earn a median annual salary of around $70,000 to $85,000, with entry-level positions starting lower and experienced analysts earning higher salaries. Compensation can vary based on location, experience, and the size of the financial institution, and many analysts use tools like Excel and financial modeling in their work.
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Banking Analytics jobs near you

DATA ANALYST

AaraTechnologies Inc

Maryland City, MD

Other

Posted 8 days ago

Job description

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. This role involves analyzing transaction data, building dashboards, and supporting KPI reporting. You will work with business and analytics teams to support data-driven decision-making. Ideal for early-career professionals in financial analytics.

<>Key Responsibilities
  • Analyze banking and transaction data
  • Create dashboards using Tableau or Power BI
  • Write SQL queries for data analysis
  • Perform data validation and reconciliation
  • Support KPI and trend reporting
  • Assist with ad-hoc analysis
  • Document reports and metrics
<>Required Qualifications
  • 2 3 years of experience in data analysis or reporting
  • Strong SQL skills
  • Proficiency in Excel
  • Experience with BI tools
  • Exposure to financial or banking data
  • Strong analytical skills
  • Good communication skills
<>Skills

Banking Analytics, Financial Data Analysis, Transaction Data, SQL, Excel, Tableau, Power BI, KPI Reporting, Dashboard Development, Trend Analysis, Data Validation, Reconciliation, Reporting Documentation, Stakeholder Communication

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