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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:
You give high priority to hiring firms with prestige. Market reputation and prestige of a firm may be determined through on-line research, and conversations with individuals working in your target industry. Note that firms "in the public eye" receive a great deal more critical publicity and attention than those operating with more anonymity. So as you assess your employment opportunities, be sure to seek out the positive aspects of the firm's reputation in addition to noting negative publicity the company may have received.
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 |
