Treasury Liquidity Analytics Pro

Santander Bank; Boston (MA); On-site; USD 56,250 - 95,000; Full time

Job summary

Santander Holdings USA, Inc. is seeking a Treasury Liquidity Data Analytics Analyst to manage banking data, forecast liquidity, and optimize cash flow.

You will build dashboards, models and processes, ensuring data accuracy and regulatory compliance while collaborating with finance and operations teams. The role requires strong analytical skills, 3+ years of experience in financial analytics, and proficiency in Excel, SQL, Python, Tableau or Power BI.

Qualifications

• Bachelor’s degree in Accounting, Finance, Economics, Statistics, Engineering or related field.
• Master’s degree preferred in a quantitative discipline.
• 3 years of relevant quantitative or financial analytics experience in banking/finance.
• Proficiency with Excel, Tableau, Power BI, SQL and Python; data modeling and MS Office suite.
• Strong ability to interpret complex financial data and communicate findings clearly.

Responsibilities

• Analyze complex datasets to extract key information, trends, and dashboard insights for senior leadership.
• Develop and maintain financial models for cash flow forecasting and liquidity management.
• Ensure data accuracy, completeness and reliability; monitor data management processes.
• Collaborate with finance, accounting, operations and external stakeholders to resolve issues.
• Ensure treasury analysis and reporting comply with regulatory standards.

Skills

Data analytics

Analytical mindset

Financial forecasting

Education

Bachelor's degree

Master's degree

Tools

Excel

Tableau

Power BI

SQL

Python

Job description

Santander Holdings USA, Inc. is seeking a Treasury Liquidity Data Analytics Analyst to manage banking data, forecast liquidity, and optimize cash flow.

You will build dashboards, models and processes, ensuring data accuracy and regulatory compliance while collaborating with finance and operations teams. The role requires strong analytical skills, 3+ years of experience in financial analytics, and proficiency in Excel, SQL, Python, Tableau or Power BI.