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Microsoft Work Values
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Daily Duties at Microsoft:
I led a research team that benchmarked the costs associated with using Microsoft's products. This information was used to engineer value into future products. I developed strategies, managed budgets, led teams and generated deliverables for senior Microsoft executives.
What they like about Microsoft:
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.
Tags
Data Mining, Predictive Analytics, Microsoft, Sales, Consulting, SAS
Information about Microsoft
Company Rank: Not Available
Average length of employment : 9 years
Average salary of employees: $130,000
These are some of the questions we asked our climbers about their experiences with Microsoft:
| 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 Microsoft 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 |
