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Self Employed Work Values
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Daily Duties at Self Employed:
Instruct students on topics without notice utilizing available resources.
What they like about Self Employed:
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
SQL, Algorithms, Analyst, Relational Databases, IBM Mainframe, Linux, Data Scientist, Mathematician, Problem Solver
Skills
SQL, Relational Databases, Analysis, Data Mining, Algorithm, Data Visualization, Linux, Spark, Hadoop, Python, Problem Solving, Communication, Collaboration, sampling, ETL, Statistics, Project Management, Agile, Leadership, R, Scala, IBM Mainframe, Oracle, Splunk, Ab Initio, PuTTY, JIRA, LaTeX, SharePoint, Adobe Illustrator, Final Cut Pro
Information about Self Employed
Company Rank: Not Available
Average length of employment : 8 years
Average salary of employees: $80,000
These are some of the questions we asked our climbers about their experiences with Self Employed:
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 Self Employed had these interests:
Websites | |
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Big Data University https://bigdatauniversity.com/ |
The Big Data University, an IBM community initiative, providing opportunities to learn the fundamental concepts required to develop, process, and analyze big data and break down the traditional barriers to participation in this sector. |
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