Senior Manager, Client Analytics, Commercial Banking
Role Overview
Supports the Commercial Banking segment with client, product, and channel analytics.
Acts as a strategic thought partner, delivering analysis, tools, insights, and data-driven recommendations to identify growth opportunities and better serve clients.
Hybrid work arrangement includes 1–3 days per week on-site, with other days remote.
Key Skills for This Role
Full Job Posting
Role overview
Supports the Commercial Banking segment with client, product, and channel analytics.
Acts as a strategic thought partner, delivering analysis, tools, insights, and data-driven recommendations to identify growth opportunities and better serve clients.
Hybrid work arrangement includes 1–3 days per week on-site, with other days remote.
Analytics and reporting
- Frame business problems, execute required analyses, and synthesize findings for senior leadership decisions.
- Lead complex ad hoc analyses using multiple data sources and share insights with varied audiences.
- Develop and maintain client profiles for ongoing reporting and ad hoc analyses.
- Support development, maintenance, and enhancement of value-added reporting.
- Provide ideas to improve team use of tools, data, and partner relationships.
Partnerships
- Build relationships with business banking leadership and partners in sales, product, risk, and finance.
- Deliver recommendations to help grow the business and better serve clients.
Candidate qualifications
- Data analytics experience working with large structured and unstructured datasets.
- Strong hands-on experience in Python, SQL, and Power BI.
- Experience with tools including Alteryx and R; Databricks exposure is an asset.
- Graduate degree in mathematics, computer science, electrical and computer engineering, or a related quantitative field.
- Ability to interpret data, develop business insights, and communicate findings effectively.
Work arrangement
- Hybrid work arrangement with 1–3 days per week on-site and the remaining days remote.
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