Senior Data Analyst

Overview

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. Bank of America is committed to being a diverse and inclusive workplace for everyone.

Bank of America believes in working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working here provides opportunities to learn, grow and make an impact.

Role Overview

The Senior Data Analyst in EIT is responsible for providing data and analysis needed to inform key decisions and actions addressing risk across the Bank. The role requires close partnership with key stakeholders to understand processes, technology infrastructure, data and controls to ensure accuracy and validity of information.

Main responsibilities include:

• Turning data into insights and presenting large data sets in a visually insightful way for an executive audience.

• Compiling and organizing data regarding issues or business processes needing improvement.

• Transforming large datasets to identify patterns and summarize insights to identify strengths and weaknesses.

• Designing and developing analytics models, algorithms and analysis.

• Collaborating with key stakeholders and SLT to understand business needs.

• Providing data needs at various levels for end users.

Required Education & Experience

• Bachelor’s degree or higher in fields including but not limited to Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration.

• 5+ years of relevant work experience.

Desired Skills

• Intellectual Curiosity

• Critical thinking and understanding of how processes relate to one another

• Understanding of the "why" and willingness to explore new areas with an outside-in perspective

• Life-long learner who educates self and encourages others to learn and grow

• Ownership and accountability for high-quality work; prioritization, adaptability, and meeting deadlines

• Ability to recommend and implement process control improvements

• Executive interaction & communication

• Strong written, verbal, presentation creation and delivery skills

• Timely, concise communications tailored to topic, audience, and priorities

• Good judgment and the ability to challenge or provide perspective when appropriate

• Presentations that tell a compelling story and influence action

• Asks the next level of questions and applies context to determine direction

Technical Skills

• Expert knowledge of complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning

• Expert-level coding skills, Excel, and end-user interface development

• Experience managing large data sets with tools such as Hadoop

• Transforming large datasets to identify patterns and summarize insights

• Ability to turn data into insights and present it in an executive-friendly way

• Experience with various data storage solutions and understanding of efficient usage

• Mastery of Python and Tableau

• Experience with machine learning

General Job Description

Responsible for performing data management, complex analysis, and modeling to maximize profits and asset growth, and to minimize credit and operating losses and other risk exposures. Provides data/ information management and analytical support on product strategies to meet company goals. Coordinates the production of databases and performance reports for senior management. Analyzes trends in current population distributions and recommends strategies. Develops more complex databases and program models to extract data and use databases for statistical and financial modeling. Oversees data design and portfolio trend analysis, including credit score cutoffs, loss trends, portfolio dynamics, and bureau scoring criteria. Integrates the analysis team with other corporate units to align analysis with business strategies and objectives. May involve hiring and training risk analysts. PhD, Master’s degree, or large data experience preferred; programming experience (SQL, SAS) preferred; 7+ years’ experience.

Skills

• Business Intelligence

• Data Visualization

• Issue Management

• Project Management

• Risk Management

• Business Acumen

• Continuous Improvement

• Risk Analytics

• Stakeholder Management

• Technical Documentation

• Adaptability

• Attention to Detail

• Data and Trend Analysis

• Performance Management

• Regulatory Relations

Additional Details

Shift: 1st shift (United States of America)

Hours Per Week: 40

Pay Transparency Details

Location: US - NJ - Pennington - 1600 American Blvd - Hopewell Bldg 6 (NJ2600)

Pay range: $114,500.00 - $173,100.00 annualized salary. Offers to be determined based on experience, education and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan. Benefits: This role is currently benefits eligible. We provide industry-leading benefits, paid time off, and resources to support employees and contribute to sustainable growth.