Senior Data Engineer - Audit Analytics

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.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of 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 at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Job Description:

The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization. The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology. Intellectual curiosity will drive critical thinking to produce optimal solutions. Strong time management, coordination, communication, and presentation skills are a must in this role.

Responsibilities:

• Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems
• Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement
• Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines
• Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes
• Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes
• Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls
• Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.)
• Supports the design and execution of new analytics, automated testing tools, and models
• Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work
• Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities
• Exercises judgment, critical thinking, and sound communication skills to influence business partners
• Coaches/trains junior team members in execution of analytics and automation activities

Managerial Responsibilities:
This position may also have responsibilities for managing associates. At Bank of America, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

• Diversity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company D&I goals.
• Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.
• Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.
• Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.
• People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.
• Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.
• Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.
• Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Skills:

• Analytical Thinking
• Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
• Takes initiative and demonstrates focused desire to drive improvements vs. relying on "status quo"
• Organized; able to effectively prioritize and balance multiple efforts in a fast-paced, regulatory driven environment.
• Expert in data analytics, mining, manipulation, aggregation, integration, and reporting
• Relational database management systems architecture
• Data modeling and tuning experience
• SQL Programming, stored procedures, functions, objects etc.
• Knowledge of data management (data quality, metadata management, governance, etc.) and BI/data management tools and applications
• Good verbal and written communication skills

Required Qualifications:

• Data Analytics, SQL
• Degree in business, computer science or related discipline

Desired Qualifications:

• Audit Process Knowledge
• Knowledge of the Hadoop ecosystem on tools like HIVE/Impala/Spark
• Tableau/SSRS or other current reporting tool
• Agile team member
• Knowledge of bank technology and data management standards

Shift:
1st shift (United States of America)

Hours Per Week:
40