Danielle High

Danielle High Email and Phone Number

Business Banking Operations Analyst at U.S. Bank @ U.S. Bank
minneapolis, minnesota, united states
Danielle High's Location
Fairfield, Ohio, United States, United States
About Danielle High

I have been in banking for 17 years. Many different positions including, leadership, sales, service and operations.

Danielle High's Current Company Details
U.S. Bank

U.S. Bank

View
Business Banking Operations Analyst at U.S. Bank
minneapolis, minnesota, united states
Website:
usbank.com
Employees:
59540
Danielle High Work Experience Details
  • U.S. Bank
    Business Banking Operations Analyst
    U.S. Bank Aug 2003 - Present
    View
  • U.S. Bank
    Business Banking Operations Project Manager
    U.S. Bank Mar 2003 - Present
    United States
    View
  • U.S. Bank
    Operations Specialist
    U.S. Bank Oct 2011 - Oct 2016
    View
  • U.S. Bank
    Customer Service Manager
    U.S. Bank Aug 2005 - Oct 2011
    View
  • U.S. Bank
    Supervisor
    U.S. Bank Aug 2003 - Dec 2005
    View

Frequently Asked Questions about Danielle High

What company does Danielle High work for?

Danielle High works for U.s. Bank

What is Danielle High's role at the current company?

Danielle High's current role is Business Banking Operations Analyst at U.S. Bank.

Who are Danielle High's colleagues?

Danielle High's colleagues are Diana Majczyna, Jennifer Brown, Richard Crawford, Paula Simpson, Allyson Hard, Marissa Schledewitz, Lucky Gurung.

Not the Danielle High you were looking for?

View similar profiles

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.