Quantitative Analytics Associate — Data Insights

Bank of America; Addison (TX); On-site; USD 85,000 - 120,000; Full time

Job summary

Bank of America seeks an analytical Data Analyst to support a variety of projects across lines of business. You will leverage SAS, Python, SQL, Tableau, Power BI and other tools to extract, analyze, and transform data into actionable insights.

You will partner with stakeholders to deliver timely reporting, dashboards, and data-driven recommendations that inform strategic decisions and drive operational excellence.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• Coursework in finance, math/statistics and/or computer science.
• Strong communication of complex data to inform strategic insights and decisions.

Responsibilities

• Extract, integrate, and analyze data using SAS, JavaScript, Alteryx, Python, SQL, Tableau and Power BI.
• Connect and consolidate data from multiple sources to transform raw data into meaningful metrics.
• Perform quantitative analysis to identify trends, opportunities, risks, and recommendations.
• Collaborate with stakeholders to understand reporting requirements and deliver analytical solutions.
• Communicate complex analytical findings to technical and non-technical audiences via dashboards and reports.
• Develop and maintain reporting/dashboards to support strategic objectives.

Skills

Data Analytics

Data Mining

Data and Trend Analysis

Analytical Thinking

Business Intelligence

Data Quality Management

Data Visualization

Application Development

Business Acumen

Continuous Improvement

Innovative Thinking

Quality Assurance

Education

Bachelor’s Degree or higher in finance, math/statistics, computer science

Coursework in finance, math/statistics and/or computer science

Master’s Degree in analytics or related field

Tools

SAS

JavaScript

Alteryx

Python

SQL

Tableau

Power BI

PowerShell

PySpark

VBA

SharePoint

Job description

Bank of America seeks an analytical Data Analyst to support a variety of projects across lines of business. You will leverage SAS, Python, SQL, Tableau, Power BI and other tools to extract, analyze, and transform data into actionable insights.

You will partner with stakeholders to deliver timely reporting, dashboards, and data-driven recommendations that inform strategic decisions and drive operational excellence.