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 Responsibilities:
- This job is responsible for developing and delivering data solutions to accomplish technology and business goals and initiatives.
- Perform code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems.
- Work with stakeholders and Product and Software Engineering teams to aid with implementing data requirements, analyzing performance, and troubleshooting data problems within system engineering domains.
- Provide support to audit teams via advanced automation tools to develop new testing methodologies that provide coverage for high-risk areas.
- Support may be in the form of issue validation, point-in-time audits, dashboard development, or audit planning.
- Utilize sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot, etc.) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science) to provide customized automated solutions across multiple business segments.
- Day-to-day activities include data extraction from multiple sources, performing advanced data analytics, and building dashboards.
- Opportunity exists to expand into predictive modeling, NLP solutions, and advanced analytics to provide deeper insight into the audit objectives.
Managerial Responsibilities:
- This position may also have responsibilities for managing associates.
- Creates an inclusive team where members are treated fairly and respectfully.
- Demonstrates and expects process knowledge, data-driven decisions, simplicity, and continuous improvement.
- Delivers clear and concise messages that motivate and connect contributions to business results.
- Leads and encourages the identification, escalation and resolution of potential risks.
- Knows and develops team members through coaching and feedback.
- Manages expenses and demonstrates an owner’s mindset.
- Recruits, on-boards and develops talent, and supports talent mobility for career growth.
- Delivers results through effective team management, structure, and routines.
Required Skills And Experience:
- 3 years minimum experience in data extraction with ability to write SQL queries.
- 3 years of Data Analytics, Alteryx Core Certification, SQL Training, Database knowledge.
- Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
- Proven experience coordinating multiple projects/assignments simultaneously under minimal supervision and completing assigned tasks accurately and on a timely basis.
- Must demonstrate strong attention to detail with excellent organization skills.
- Excellent Communication skills (verbal and written).
Desired Skills And Experience:
- Advance SQL writing abilities.
- Knowledge of how to connect to data sources and extract and analyze data.
- Experience with Python is a plus.
- AI/Data Science Experience is a plus.
- Audit experience is a plus.
Shift: 1st shift (United States of America)
Hours Per Week: 40
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