463 Data Coordinator jobs in Gastonia,NC

Amazon - Fort Mill, SC

Spectrum

Charlotte, NC 28217

Data Scientist
This role requires the ability to work lawfully in the U.S. withoutemployment-based immigration sponsorship, now or in the future.
In-depth knowledge of database design, SQL and data warehousing
Advanced SQL development and optimization background
Knowledge of data visualization and presentation methods for data analysisand interpretation, including performance of dashboards, generating, managingand delivering presentations and reports capable of yielding insights andactionable results
Ability to understand business processes to ensure data and informationintegrity when importing from source systems.
Ability to present analysis to our audit teams clearly and concisely
Excellent interpersonal, oral and written communication and presentation skills
Ability to work in teams towards a shared goal
Ability to interface with various levels in an organization
Ability to prioritize and organize effectively
Ability to learn new technologies and tools
Capable of working independently to solve problems under deadlines and to manage multiple projects/priorities under time constraints
Detail oriented with emphasis on accuracy and consistency
Bachelor's degree in Computer Science or related field or an equivalent combination of education, training and experience
Writing SQL / 3
Designing and building analytics tools in Tableau / 2
Big data analysis / 3
Requirements analysis and documentation / 3
Data validation, analysis, and debugging / 3

Master Meter

Charlotte, NC 28282

OneMain Financial

Charlotte, NC 28244

Bachelor's Degree in a quantitative discipline (Engineering, Statistics, Economics, Business Management, or Computer Science)
5+ years of experience in experience in consumer lending, driving informative risk decisions through analyses; Master's or PHD degrees may offset experience
Advanced analytical skillset using tools such as SQL, SAS, R, or Python
Innovative and capable of developing creative solutions to complex, data-driven problems