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Hourly Data Analytics information
What are the key skills and qualifications needed to thrive as an Hourly Data Analyst, and why are they important?
What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?
What are hourly data analytics?
What is the difference between Hourly Data Analytics vs Data Analyst?
| Aspect | Hourly Data Analytics | Data Analyst |
|---|---|---|
| Work Hours | Typically hourly, flexible shifts | Usually full-time, standard hours |
| Certifications | Relevant certifications (e.g., Google Data Analytics) | Same certifications often required |
| Work Environment | Contract or freelance settings, remote or onsite | Corporate or organizational settings, office or remote |
| Job Scope | Project-based, task-specific | Broader analysis responsibilities |
Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.
Job description
Title:
Hourly Data Analyst
Department:
Biomedical Engineering
Reports To:
Associate Professor
Position Type:
Staff
Position Summary:
The Hourly Data Analyst is a critical role responsible for executing high-impact research and analytical tasks across two distinct academic fields: educational technology and engineering. This position involves independent research, including the development and testing of a student performance monitoring application, applying necessary IRB protocols for educational data analysis, and utilizing data modeling algorithms to interpret complex additive manufacturing experiment data. The Analyst reports to a graduate student and the faculty advisor, operating within Dr. Miri's research group, and plays a central part in driving data-driven insights and scholarly output.
Essential Functions:
-Conduct independent research to develop an app, test the
app, and apply for an IRB protocol to monitor student performance.
-The
applicant reports to a graduate student and the faculty advisor.
-Using data
modeling algorithms to analyze additive manufacturing experiment data.
Prerequisite Qualifications:
-Working toward BS in Computer Science or Electrical
Engineering.
-At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Salary Information:
In compliance with the NJ Pay Transparency Law, the hourly rate for this position is $20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.
FLSA:
Non-Exempt
Part-Time
About New Jersey Institute of Technology
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
Newark, NJ, US
Year founded
1881