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Wipro Technologies Work Values
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Daily Duties at Wipro Technologies:
Sell and deliver $2.4 million dollars per year in services revenue. Prospect for customers, create proposals, build teams, management budgets and deliver consulting. Grow the business by 20 percent per year.
What they like about Wipro Technologies:
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.
Tags
Data Mining, Predictive Analytics, Microsoft, Sales, Consulting, SAS
Information about Wipro Technologies
Company Rank: Not Available
Average length of employment : 2 years
Average salary of employees: $130,000
These are some of the questions we asked our climbers about their experiences with Wipro Technologies:
| 05| | ||
| Were your performance expectations clearly communicated? | 0.0 |
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| Were you recognized for meeting or exceeding expectations? | 0.0 |
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| Did you feel like your personal contribution was important? | 0.0 |
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| 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 Wipro Technologies had these interests:
| Books | |
|---|---|
Statististics and Data Analysis for Financial Engineering |
Financial risk modeling in R. |
| Econometrics |
Solving economic problems with regression analysis. |
| Mining the Social Web |
Python based tools for mining Google+, Facebook, Twitter and LinkedIn. |
| Logistic Regression with SAS |
Using Logistical Regression to solve probability based problems. |
| Six Degrees of Freedom |
Simulated social networks. |
| The Prize |
History of the Oil Industry. |
| The Smartest Guys in the Room |
The rise and fall of Enron. |
| Innovation and Entrepreneurship |
Describes the characteristics of innovators and entrepreneurs |
