Interested in finding more jobs in Charlotte, NC? Click Here to create a Climber profile today!



Big Data Energy Analytics Laboratory In Unc Charlotte Work Values

Interested in finding out if you are the type of person this company is looking for? Create an account and take our patented DNA assessment now to see how you compare.


Daily Duties at Big Data Energy Analytics Laboratory In Unc Charlotte:

1. Assist advisor on load forecasting research: analyzing the relationship of temperature variables and load variables on short-term load forecasting 2. Using SAS programming and statistical analysis to conduct experiments, such as combining sister load forecasts 3. Contribute to the revision of Load Forecasting Case Study, a white paper for National Association of Regulatory Utility commissioners


What they like about Big Data Energy Analytics Laboratory In Unc Charlotte:

Working in an organization that is technologically advanced, creative, and innovative is critical in your assessment of hiring companies. Less important to you are stability of the organization, the length of time an organization has been in business, and the business' plans for the future. You prefer a fast-moving company that will take risks to achieve its goals and objectives. The length of time the company has been in business is irrelevant. Maintaining status quo is unnecessary. You thrive on change, uncertainty and the upside of potential business risks, especially those associated with innovation. Stability for the long haul is not nearly as important as is working in an atmosphere that is charged with a sense of urgency and constant change.



Information about Big Data Energy Analytics Laboratory In Unc Charlotte


Company Rank: Not Available

Average length of employment : 0 years

Average salary of employees: $47,500

These are some of the questions we asked our climbers about their experiences with Big Data Energy Analytics Laboratory In Unc Charlotte:

05|
Were your performance expectations clearly communicated?

0.0

Were you recognized for meeting or exceeding expectations?

0.0

Did you feel like your personal contribution was important?

0.0

Was your career path clearly outlined and discussed?

0.0


03|
I would recommend this as a place of employment.
0.0
I believe in the purpose of this organization.
0.0
I would work for this organization again.
0.0
I feel employees are fairly compensated.
0.0


Climbers who worked at Big Data Energy Analytics Laboratory In Unc Charlotte had these interests:

Websites
Linkedin Profile

https://www.linkedin.com/profile/view?id=312379291&trk=nav_responsive_tab_profile

This is Jiali Liu's Linkedin profile.


Back