1460 Ntt Data jobs in Fort Worth,TX

Pipe View, LLC

Azle, TX 76020

High school diploma or GED equivalent is required
Possession of a valid Driver's License and DOT card (or ability to obtain a DOT card)
Must be able to read, write and speak English
Must be able to wear hard hat/helmet, safety glasses, goggles, safety shoes/boots, hearing protectors, safety vest and gloves
Lifting, carrying, or pushing objects, at times, over 50 pounds with the assistance of mechanical and team lifting

American Airlines

Fort Worth, TX 76101

CHRISTUS Health

Irving, TX 75039

American Airlines

Fort Worth, TX 76101

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
9+ years applicable experience in data engineering, ETL/ELT development, or data platform architecture with 3+ years in cloud strategy (Azure preferred) required

Packaging Corporation Of America

Arlington, TX 76010

Santander Holdings USA

Dallas, TX 75201

Bachelor's Degree or equivalent work experience: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience.
5+ Years Analytics in Financial Services Industry.
Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
Prior experience working with credit bureau data.
Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming.
Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
Demonstrated ability to create complex pivot tables in MS Excel.
Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
Ability to translate analysis into a clear business plan.
Strong written and verbal communication skills.
Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.