ZipRecruiter

Log In

1

Hourly Data Analyst Startup Jobs in New Jersey (NOW HIRING)

SRP Systems Inc

Data Analyst in Big Data

Princeton, NJ · On-site

Company Description SRP is a big data startup company located in Princeton, NJ focused on Dynamic ... We are looking for a big data analyst that can generate clear and insightful analyses on the data ...

Judge Group, Inc.

Data Analyst II

Bridgewater, NJ

$40 - $42/hr

Bridgewater, NJ Salary: $40.00 USD Hourly - $42.00 USD Hourly Description: Our client is currently seeking a Data Analyst II The CX Insights and Engagement Team designs and implements a best-in-class ...

RWJBarnabas Health

Data Analyst (On-Site)

Toms River, NJ · On-site

$21 - $26/hr

Data Analyst Location: Community Medical Center Department Name: Neuroscience Institute Req ... Hourly Shift: Day Pay Range: $21.00 - $26.00 per hour Pay Transparency: The above reflects the ...

next page

Showing results 1-20

People also search for

All JobsHourly Data Analyst Startup JobsHourly Data Analyst Startup Jobs in New Jersey

Hourly Data Analyst Startup information

What are the key skills and qualifications needed to thrive as an Hourly Data Analyst at a startup, and why are they important?

To thrive as an Hourly Data Analyst at a startup, you need strong analytical skills, proficiency in statistics, and experience with data manipulation, often supported by a relevant degree or coursework. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau or Power BI is typically required. Standout candidates possess problem-solving abilities, adaptability, and effective communication to translate data into actionable insights in a dynamic environment. These skills are crucial for driving data-informed decisions and supporting rapid growth and innovation in the startup setting.

What are some common challenges faced by an Hourly Data Analyst at a startup, and how can I prepare for them?

As an Hourly Data Analyst in a startup environment, you may encounter challenges such as rapidly shifting priorities, limited resources, and the need to wear multiple hats. Startups often require analysts to work with incomplete or messy data and to quickly provide actionable insights for fast-paced decision-making. To prepare, it's beneficial to strengthen your adaptability, communication, and problem-solving skills, as well as familiarize yourself with a range of data tools and technologies. Collaborating closely with cross-functional teams—such as product, engineering, and marketing—is also key to success in this dynamic setting.

What does an Hourly Data Analyst at a startup do?

An Hourly Data Analyst at a startup is responsible for collecting, processing, and analyzing data to help the company make informed decisions. This role often involves working with large datasets, creating reports, and visualizing trends to support various business functions. Since startups are fast-paced, an hourly data analyst may also assist with data cleaning, database management, and implementing analytics tools. Their work helps identify areas for growth, improve processes, and measure key performance indicators. Flexibility and adaptability are important, as tasks and priorities can change rapidly in a startup environment.

What is the difference between Hourly Data Analyst Startup vs Hourly Data Analyst Corporate?

AspectHourly Data Analyst StartupHourly Data Analyst Corporate
Work EnvironmentFast-paced, flexible, often small teamsStructured, larger teams, formal processes
Required CredentialsRelevant degree, data analysis skills, sometimes certificationsSimilar credentials, often with additional industry-specific certifications
Industry UsageStartups across tech, finance, marketingLarge corporations in various sectors
Work FocusRapid project turnaround, innovationLong-term data management, reporting

Hourly Data Analyst startup roles typically involve a fast-paced environment with flexible hours and a focus on quick, innovative solutions. In contrast, corporate roles tend to be more structured with formal processes and long-term data projects. Both roles require similar credentials, but the work environment and focus differ significantly.

What are the most commonly searched types of Data Analyst Startup jobs in New Jersey? The most popular types of Data Analyst Startup jobs in New Jersey are:
What are popular job titles related to Hourly Data Analyst Startup jobs in New Jersey? For Hourly Data Analyst Startup jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Hourly Data Analyst Startup jobs in New Jersey look for? The top searched job categories for Hourly Data Analyst Startup jobs in New Jersey are:
What cities in New Jersey are hiring for Hourly Data Analyst Startup jobs? Cities in New Jersey with the most Hourly Data Analyst Startup job openings:
Hourly Data Analyst Startup jobs near you
Hourly Data Analyst

Hourly Data Analyst

New Jersey Institute of Technology

Newark, NJ

$20/hr

Other

Posted 19 days ago

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

Apply