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Ut Austin Libraries Acquisition Services Work Values

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Daily Duties at Ut Austin Libraries Acquisition Services:

Automated the cost upload process of the Reconciliation project and created visualizations based on the analysis performed by scraping records from the online databases using Python scripting, Excel macros.


What they like about Ut Austin Libraries Acquisition Services:

A hiring company that offers alternative approaches to pay, performance bonuses, and/or equity in the firm is very attractive to you. You're generally less interested in working for an organization offering only traditional, salary-based compensation, one with limited opportunity to acquire equity in the firm, or one that does not actively promote skill development. In addition, you are more likely to choose a company that offers a variety of internal career options, with defined career paths. You view the learning of new skills and development of your expertise as key to your career advancement. These aspects of an organization may become even more important to you as you progress in your field, and are especially critical if you change career or occupation.



Information about Ut Austin Libraries Acquisition Services


Company Rank: Not Available

Average length of employment : 1 year

Average salary of employees:

These are some of the questions we asked our climbers about their experiences with Ut Austin Libraries Acquisition Services:

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Were your performance expectations clearly communicated?

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Were you recognized for meeting or exceeding expectations?

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Did you feel like your personal contribution was important?

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Was your career path clearly outlined and discussed?

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I would recommend this as a place of employment.
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I believe in the purpose of this organization.
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I would work for this organization again.
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I feel employees are fairly compensated.
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Climbers who worked at Ut Austin Libraries Acquisition Services had these interests:

Books
An Introduction to Statistical Learning This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences. The book also contains a number of R labs with detailed explanati
Websites
kaggle.com

http://kaggle.com

Website to undertake data science projects
stack overflow

http://stackoverflow.com

A forum to get answers to various work-related issues- programming hurdles or learning new cconcepts


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