Business Analysis Associate

Job Description

As a Business Analysis Associate I 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. Required qualifications, capabilities, and skills Bachelors degree in Mathematics, Statistics, Computer Science, or a related technical discipline. Atleast 1 year 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 or Alteryx. Experience with data visualization tools like Tableau for creating insightful reports. Ability to support 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. 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 Familiarity with artificial intelligence (Machine Learning and Large Language Models) Experience working with big data technologies such as Hadoop or S3. Experience with cloud infrastructure such as AWS or GCP. Background in fraud prevention or financial services is a plus.