Senior Data Analyst - Profit Data Management

Bank of America•Charlotte, NC

1d•Onsite

About The Position

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 an 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. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: 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 As a member of the PDM team, this role will provide both technical and analytical support for Profit data on EC_PAM (Enterprise Customer Profit Analytical Measurement). The role will partner closely with global teammates and assume responsibility for key outbound processes such as Cross Reference tables, Householding, and Customer Segmentation.

Requirements

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.

Nice To Haves

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

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
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
Maintain documentation and data lineage for sourcing through outbound processes