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
Position requires a Bachelor’s degree in Information Systems, Business Analytics, or a related field, and 3 years of experience with relational databases including Oracle and SQL Server for data storage and retrieval. Experience must include at minimum: 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; and 2 years of experience with data governance and compliance in a financial services context. Telecommuting benefit available.
Job location: Chicago, IL. RATE OF PAY: $125,100.00 - $131,200.00 per year. To apply, please visit https://www.cibc.com/en/about-cibc/careers.html and enter Job Requisition ID: 2605794. Alternatively, please send your resume, cover letter, and a copy of the ad to: CIBC, Attn.: H. Lazzaro, 300 Madison Avenue, New York, NY 10017.
What CIBC Offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
*Subject to plan and program terms and conditions
What you need to know
CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.
Job Location
IL-120 S LaSalle StEmployment Type
RegularWeekly Hours
40Skills
Advanced Analytics, Analytical Thinking, Data Management, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Statistical Data Modeling, Strategy Implementation