633 Professional Level Program Coordinator jobs in Lancaster,SC

No prior sales experience is required—we provide comprehensive training and ongoing support.
Candidates must be based in South Carolina to be considered.

Marshalls

Charlotte, NC 28211

Spectrum

Monroe, NC 28110

A valid driver's license, car insurance, a satisfactory driving record, and the use of a reliable personal vehicle
High School Diploma or equivalent work experience
Ability to read, write, speak and understand English language
Engaging interpersonal skills
Ability to listen, formulate needs based sales strategies, and articulate pitches to sell products and services
A passion to succeed and strong personal drive to sell to prospective customers
Ability to travel (including during inclement weather) to and from assigned territories and company facilities
Familiarity with computer operating systems and software applications as well as consumer and commercial communication devices (e.g., PDAs, smartphones, routers, modems, set-top converters, and wireless devices)
Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
Ability to work independently with little or no supervision

USAA

Charlotte, NC 28201

4 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research; OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 2 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
Experience communicating verbally and in-writing quantitative/technical concepts and conclusions to non-technical audiences and senior leadership.
Proficient programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing.
Working Experience with statistical, econometric, data science, or predictive modeling approaches including Linear Regression; Time-Series/Forecasting; Logistic Regression; Machine Learning. Business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge.