Senior Data Analytics & Strategy Analyst

Bank of America; Jersey City (NJ); On-site; USD 76,000 - 121,000; Full time

Job summary

Bank of America in Jersey City is seeking a Data Analyst and Developer to support the development and maintenance of reports and dashboards. You will work with Product Management to ensure reporting governance and scalable automated solutions, balancing short-term needs with long-term vision.

The role requires data analysis, modeling, and proficiency with SQL, Tableau, Python, and other analytics tools. A collaborative, results-oriented mindset is essential for success in Global Operations.

Qualifications

• Minimum 1 year experience as Data Analyst or Process/Project Management or similar role in financial services industry.
• Ability to collaborate with team members, customers, and SMEs to clarify requirements and complete UAT.
• Translate data into actionable insights and balance business needs with analytical rigor.
• Manage multiple priorities and meet project delivery dates.
• Strong written and oral communication to influence outcomes.

Responsibilities

• Recommends ways to help the business achieve desired outcomes using data analysis outputs.
• Performs complex analysis of financial models, market data, portfolio trends to improve performance and risk.
• Leads coordination of production of product performance reports and updates for senior management.

Skills

Data Analysis

Business Analytics

Business Intelligence

Data Visualization

Analytical Thinking

Critical Thinking

Problem Solving

Oral Communications

Written Communications

Data Quality Management

Collaboration

Monitoring, Surveillance, and Testing

Data and Trend Analysis

Innovative Thinking

Research

Education

Bachelor's in Analytics/DS/CS

Tools

JavaScript

Tableau

PowerShell

SQL

Alteryx

Python

PowerQuery

VBA

Nintex

Job description

Bank of America in Jersey City is seeking a Data Analyst and Developer to support the development and maintenance of reports and dashboards. You will work with Product Management to ensure reporting governance and scalable automated solutions, balancing short-term needs with long-term vision.

The role requires data analysis, modeling, and proficiency with SQL, Tableau, Python, and other analytics tools. A collaborative, results-oriented mindset is essential for success in Global Operations.