Senior Data Analyst - Enterprise Customer Profitability

Job Description:

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Profile Summary:

This job is responsible for ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.

This role will specifically support Enterprise Customer Profitability (a.k.a. Profit), which is an enterprise application and authorized data source which produces risk adjusted profitability data for ~ 210 MM customer accounts each month. The scope of Enterprise Customer Profitability spans the following lines of business.

• Retail and Preferred

• Merrill

• Private Bank

• Business Banking

• Global Commercial Bank

• Global Corporate and Investment Banking

• Global Markets

Responsibilities:

• Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set

• Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship

• Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform

• Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform

• Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents. Support change initiatives from requirements through testing and post-production validation

• Troubleshoot and resolve issues related to outbound processes. Maintain documentation and data lineage for sourcing through outbound processes

• Respond to technology partner inquiries and provide business data insights through ad-hoc queries. Educate partners on data structures and relationships within the PAM suite

Required Qualifications:

• 5+ years of experience in data analytics or related data management roles.

• Expert-level SQL skills with ability to design and optimize complex queries for large-scale datasets.

• Understanding of financial statements and profitability metrics.

• Excellent verbal and written communication skills

• Demonstrated ability to manage multiple high-impact projects simultaneously.

• Prior experience as a contributing member on a project team, including writing requirements, test plans and executing test scripts.

Desired Qualifications:

• Bachelor’s degree in Data Analytics, Finance or related business field, preferred

• Experience collaborating with global and cross-functional technology teams.

• Understanding of banking products.

• Experience in business partnering and consulting.

• Usage and familiarity with customer profitability and activity based (unit) costing concepts

Skills:

• Data Management

• Issue Management

• Policies, Procedures, and Guidelines Management

• Analytical Thinking

• Collaboration

• Data Governance

• Data Quality Management

• Data and Trend Analysis

• Business Acumen

• Controls Management

• Production Support

• Solution Design

Shift:

1st shift (United States of America)

Hours Per Week: 

40