Tampa, FL, United States
11 hours ago
Business Analysis Associate

Join our dynamic Commercial Banking Fraud Prevention team and make a significant impact by leveraging data analytics to combat fraud. This role offers a unique opportunity to enhance your career while working on innovative data and technology initiatives. As a Business Analysis Associate, you'll develop critical skills in data curation, analytics, and stakeholder collaboration. Be part of a team that values growth, continuous learning, and cross-functional partnerships. Elevate your career with us and contribute to safeguarding our clients and enhancing their experience.

As a Business Analysis Associate within the Commercial Banking Fraud Analytics & Insights team, you will play a crucial role in protecting our clients from fraud. You will work with us to leverage data and technology to enhance fraud detection and improve client experiences. Our team values collaboration, innovation, and continuous learning, providing you with opportunities for career growth and skill development. Together, we create intelligent solutions that automate reporting and streamline processes. Join us in making a meaningful impact on our clients and the wider community.

Job Responsibilities

Support day-to-day analytics and project management activities related to data and technology initiatives. Maintain and enhance the team’s data infrastructure, including exploration and automation of data ETL pipelines. Assist in the design and optimization of analytical processes, from data sourcing to stakeholder consumption. Collaborate with cross-functional teams to define key metrics, data points, and other needs for reporting and analytics. Own and support the development and maintenance of internal and stakeholder dashboards and reports. Participate in user acceptance testing (UAT) for system deployments and manage change documentation. Prepare and present periodic updates to leadership and stakeholders on data and technology deliveries. Develop a deep understanding of Commercial Banking fraud trends, patterns, and features. Ensure documentation and governance of applications and systems within the team. Run business unit critical processes to support fraud prevention efforts.

Required qualifications, capabilities, and skills

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related technical discipline. 3 years of experience in a data, analytics, or technology-related role. Strong proficiency with Microsoft Excel, PowerPoint, Access, Visio, and Word. Experience in data mining using SQL, Python, Alteryx, or Tableau. Ability to support and manage complex, technology-focused initiatives. Self-motivated with a strong drive to deliver accurate results and critically think through solutions. Strong interpersonal skills with the ability to work collaboratively across teams. Understanding of data warehousing concepts, including ETL and relational databases. Experience with cloud infrastructure such as AWS or GCP. Ability to develop and maintain internal and stakeholder dashboards and reports. Experience in user acceptance testing (UAT) and managing change documentation.

Preferred qualifications, capabilities, and skills

Experience working with big data technologies such as Hadoop or S3. Familiarity with artificial intelligence and machine learning solutions. Background in fraud prevention or financial services. Experience with data visualization tools like Tableau for creating insightful reports. Proficiency in cloud infrastructure management, particularly AWS or GCP. Strong problem-solving skills with the ability to adapt quickly to changing priorities. Demonstrated ability to develop strong partnerships across multiple levels of an organization.
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