Sr Data Technology Analyst

Bank of America•Charlotte, NC

15d•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 role requires deep technical expertise supported by strong critical reasoning and problem-solving skills. This roles core focus will be developing automated tests for regulatory reports, Sarbanes-Oxley (SOX) and other critical uses of data across the Enterprise. This role will be responsible for design, development, and execution of data quality testing across various data uses. This will also require collaborating with key stakeholders (business / technology) to support timely completion of testing activities while ensuring adherence to established testing framework(s)/ coding standards. Candidate needs to be able to successfully operate across multiple projects and deliver in a timely manner. Be able to operate & manage work in a high-stress environment. Proactively identify process and procedural enhancements with respect to testing and testing tools. Be able to engage with Audit respond to Regulatory questions.

Requirements

3-5 years of experience in Data Testing/Quality, Application Management and/or Data Management
3+ years of hands on experience using Python in developing data applications / backend service / analytics / statistics
Data ETL, DB development, SQL, Hadoop, Macros, VBAm, Excel/Access, PowerPoint
Strong data quality knowledge (Accuracy, completeness, timeliness dimensions, data risk mitigation, etc.)
Strong understanding of database concepts like (views, primary keys, table joins)
Involvement with Data Transformation, Transaction, Conformance, and Data Capture testing in Use, Transport, and Capture data lifecycle
Practical experience developing applications while adhering Software Development Life Cycle(s) (SDLC)/Coding Standards/JIRA tracking
Risk Management mindset
Strong oral & written communication and comfortable presenting to a wide variety of audiences
Comfortable leading and influencing with and without direct authority
Resourceful/ proactive in situations when not all information is available or there is no apparent “right” answer
Strong understanding / experience on Automation tools (UFT / Selenium etc.)
Capable to navigate conflict to enable productive solutions
Close attention to detail

Nice To Haves

Knowledge of Scrum and Agile principles
Project management experience
Advanced degrees in technical disciplines i.e., Math, Computer / Data Science, Physics, Statistics etc.
Working knowledge of Trino, Splunk, Hadoop, AI / ML tools / methodology
Strong communication / presentation skills
Banking Domain and Regulatory Reporting Knowledge
Experience as part of an Audit organization or a deep history of interactions with Audit (Internal and External)
Basic knowledge of BI tools / Tableau and/or other reporting tools

Responsibilities

Accurate and timely development of testing and/or supporting operational and administrative activities related to the end to end test development and execution process.
Evaluating test structure to determine automation viability, accessing pertinent databases to source testing data, and collaborating with Compliance and Operational Risk officers and/or Front Line Unit (FLU) process owners to design sampling and test procedures that support the test objective and ensure the repeatability and reliability of the testing.
Analyzing databases and documentation from internal sources to develop data extract, sampling, and testing procedures, working closely with Front Line Unit data contacts and subject matter experts.
Partnering with various teams across technology and data management and supports the planning and execution of data analysis and reporting
Preparing and analyzing data to provide stakeholders with business insights to help solve problems
Establishing tools and reports to support proper testing activities for data flows and maintenance procedures for large scale databases
Mentoring employees on capabilities needed to obtain and analyze large and complex data sets and teaches domain expertise to understand the business purpose of the data

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