Senior Data Analyst

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

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 ~ 210MM+ customer accounts each month. The scope of Enterprise Customer Profitability spans all 8 lines of business. The role will also support the Customer Activity Based Costing (ABC) application, which supports Non-Interest Expense calculated by the Profit application.

The engine that calculates Profit data and the ABC application are both being modernized to a new technology over the next 4 years.

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 from requirements through testing and post-production validation
• This role will be expected to ingest detailed requirements, attend design sessions and independently build a test plan and develop test scripts
• Identify and log defects during testing and retest as defects are remediated  
• Respond to technology partner inquiries and provide business data insights through ad-hoc queries
• Educate tech partners on data flows, logic/methodologies and relationships within Enterprise Customer Profitability
• Maintain reference data and documentation for Bank products coming out of the modernization initiative for downstream readiness, Desktop procedures and data lineage

Required Qualifications:

• 2+ years of experience in supporting banking/financial services industry
• Strong understanding of financial statements and profitability metrics
• Excellent verbal and written communication skills
• Demonstrated ability to manage multiple high-impact projects simultaneously
• Ability to work independently
• Prior experience as a contributing member on a project team, including writing requirements, test plans, test scripts and executing test scripts
• SQL proficient

Minimum Education

• Bachelor’s degree in finance, data analytics or related Business Field, preferred

Skills:

• Data Collection and Entry
• 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
• Solution Design

Shift:

1st shift (United States of America)

Hours Per Week: 

40