Sr. Analyst II, Automation and Applied AI

CIBC•Chicago, IL

9d•Remote

About The Position

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC.com CIBC Bank USA seeks a Sr. Analyst II, Automation and Applied AI to lead the execution of data management initiatives including analysis of complex data sets, development of comprehensive business intelligence reports, and process engineering for automated workflows. Ensure data solutions effectively meet the needs of internal clients, enhance decision-making processes, and create increased capacity by reducing manual tasks. Establish and maintain strong governance frameworks around data analytics processes, ensuring compliance with organizational standards and best practices in data management. Collaborate with business and IT stakeholders to gather requirements, provide insights, and facilitate the adoption of data-driven solutions across the organization. #LI-DNI

Requirements

Bachelor’s degree in Information Systems, Business Analytics, or a related field
3 years of experience with relational databases including Oracle and SQL Server for data storage and retrieval
3 years of experience with Alteryx for data preparation and analytics
3 years of experience with SQL for database querying and data manipulation
3 years of experience with Tableau for data visualization and reporting
3 years of experience with Power BI for business analytics and reporting
2 years of experience with Power Automate (previously known as Microsoft Flows) for automating workflows and processes
2 years of experience with data governance and compliance in a financial services context

Responsibilities

Lead the execution of data management initiatives including analysis of complex data sets
Development of comprehensive business intelligence reports
Process engineering for automated workflows
Ensure data solutions effectively meet the needs of internal clients, enhance decision-making processes, and create increased capacity by reducing manual tasks
Establish and maintain strong governance frameworks around data analytics processes, ensuring compliance with organizational standards and best practices in data management
Collaborate with business and IT stakeholders to gather requirements, provide insights, and facilitate the adoption of data-driven solutions across the organization