#JR-24041686
organization.
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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
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