Entry-level role supporting data, analytics, technology and transformation projects. Participate in classroom training, complete assigned projects, follow coding and documentation best practices, build data-driven presentations, and analyze data to support decision-making while collaborating across Data-Analytics, Technology, and Transformation teams.
Job Summary & ResponsibilitiesPreferred Qualifications
Responsibilities include but are not limited to:
- Participate in classroom training to deepen knowledge in specific professional skills as well as banking and fintech concepts.
- Learn the core business activities of a commercial & consumer bank.
- Complete projects within assigned track in a timely manner and collaborate effectively across teams within the Data-Analytics, Technology and Transformation organizations.
- Work on transformational projects aligned with strategic objectives.
- Follow best practices and standards for coding, testing, documentation, and security.
- Develop data driven presentations.
- Under Managements direction, learns to manage projects, completing specific assigned tasks.
- Analyze, organize, and use data & insights to support decision making.
Required Skills:
- Strong analytical skills.
- Excellent verbal and written communication skills.
- Ability to work independently and collaboratively in a team.
- Ability to learn quickly and apply new skills and knowledge.
- Attention to detail and quality.
- Ability to adapt to changing priorities and environments.
- Intermediate skills in Microsoft Excel, PowerPoint, and Word.
- Must demonstrate initiative, curiosity, and creativity in solving problems and learning new skills.
Required Experience:
- Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field.
- Academic or internship-based knowledge of databases, web services, cloud computing, security and project management.
Preferred Experience:
- 0-2 years of relevant work or internship experience supporting Transformation, Technology or Data organization.
- Proficiency in one or more programming languages such as Java, Python, C#, or JavaScript.
- Experience with data analysis, visualization, or machine learning is a plus.
- Familiarity with software development tools and methodologies such as Git, Agile, or Scrum.
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