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Lawrence Associates Work Values
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Daily Duties at Lawrence Associates:
I was responsible for selling and delivering $500,000 per year in services revenue. I prospected for clients, wrote proposals, managed budgets, recruited personal, managed projects, and participated in delivering projects.
What they like about Lawrence Associates:
The social vibrance of a hiring firm is very important to you. Your ability to make and maintain friendships there is a critical part of your decision. You would likely be dissatisfied with a workplace that is quiet, cold, or otherwise not particularly social. When you investigate a new hiring company, ask recruiters, managers, and potential co-workers about the social life and opportunities there. This is especially important when you are relocating; moving dramatically alters your social sphere both inside and outside the workplace.
Tags
Data Mining, Predictive Analytics, Microsoft, Sales, Consulting, SAS
Information about Lawrence Associates
Company Rank: Not Available
Average length of employment : 1 year
Average salary of employees: $130,000
These are some of the questions we asked our climbers about their experiences with Lawrence Associates:
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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 Lawrence Associates had these interests:
Books | |
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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 |