UMB

Digital Product Analyst

Kansas City MO

No sponsorship$70k-$109kDetected 12 days ago

Data AnalysisResearch

About the role

This includes assisting in the management of projects and deliverables to ensure the performance standards are met, as well as executing on the strategy set and working with some level of autonomy to resolve or escalate issues quickly.
This role is hybrid (Monday - Thursday on-site) for candidates in the Kansas City metropolitan area.
Work Visa sponsorship is not available for this position.

The Digital Product group manages and delivers digital banking solutions for the Bank's clients, including consumers, small businesses, corporate and institutional.
As the Digital Product Analyst, you will provide analytical and reporting support for the Digital Product team by helping develop and improve the portfolio of products.
Work cross-functionally with lines of business to achieve company objectives, standardize reporting and create dashboards, with emphasis on marketing and sales activities, effectiveness and business impact.
Support incident analysis/root-cause documentation.
Develop training efforts for internal and external clients and operate as the technical liaison when minor issues arise.
Maintain updated content on all collateral consistent with regulations, network requirements and marketing strategies.
You'll be valued for exactly who you are and encouraged to support causes you care about.

An undergraduate degree or equivalent business experience.
At least 4 years of banking product knowledge experience or equivalent experience within applicable business or operational areas.

Please see the description of benefits included with this job posting for additional information.
Benefit offerings and eligibility requirements vary.

If you need accommodation for any part of the employment process because of a disability, please send an e-mail to talentacquisition@umb.com to let us know the nature of your request.

This listing is sourced directly from UMB's careers page and normalized into a canonical job model.