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Hourly Data Analyst Startup Jobs in Oregon (NOW HIRING)

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Associate Professor Position Summary: Center for Solar Terrestrial Research (CSTR) of the New Jersey Institute of Technology (NJIT) in ...

Data Analyst

Medford, OR · On-site

$34.50 - $45.43/hr

Hourly Wage: $34.50 - $45.43 per hour or $57,408-$75,595.52 annually * Competitive Vacation ... As a Data Analytics Manager , you play a central role in that work. You ensure the data that ...

BMPS Data Analyst

Grants Pass, OR · On-site

$76.96 - $83.20/hr

AllCare Health Headquarters, Grants Pass, OR, US 4 days ago Requisition ID: 1218 Salary Range: $37.00 To $40.00 Hourly BMPS Data Analyst at AllCare Health with the Benefit Management & Pharmacy ...

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business ... Competitive hourly pay commensurate with experience: $31/hr - $42/hr (subject to change dependent ...

Familiarity with SQL, Python, or data analysis tools is preferred. * Experience using business ... Competitive hourly pay commensurate with experience: $31/hr - $42/hr (subject to change dependent ...

New

... startup speed with enterprise resources. We ship fast, iterate constantly, and wear many hats. If ... We are looking for a Data Product Analyst to join the Signals team and help us hit our ambitious ...

Data Scientist

OR · On-site +1

The ideal candidate would have experience analyzing large and complex data sets related to web ... We have the startup DNA but we're fully backed and funded, all the way to success. * You will NOT ...

Description Bluespine is an innovative new startup in the health-IT domain. By employing cutting ... Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ...

Senior Business Analyst

OR · On-site +1

$92K - $119K/yr

Data Analysis: Analyze customer data from core systems such as policy administration, compensation ... Strong problem-solving skills and the ability to manage multiple priorities in a fast-paced startup ...

The ideal candidate would have experience analyzing large and complex data sets related to web ... We have the startup DNA but we're fully backed and funded, all the way to success. * You will NOT ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

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Hourly Data Analyst Startup information

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 are the key skills and qualifications needed to thrive as an hourly data analyst at a startup?

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 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 Oregon?

The most popular types of Data Analyst Startup jobs in Oregon are:

What cities in Oregon are hiring for Hourly Data Analyst Startup jobs?

Cities in Oregon with the most Hourly Data Analyst Startup job openings:

Infographic showing various Hourly Data Analyst Startup job openings in Oregon as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution.

$40/hr

Part-time

Posted 17 days ago


Job description

Are you a current NJIT employee? Apply here through the Internal Jobs Hub.

Title: Hourly Data AnalystDepartment:Asst/Assoc ProfessorReports To:Associate ProfessorPosition Summary:

Center for Solar Terrestrial Research (CSTR) of the New Jersey Institute of Technology (NJIT) in Newark, New Jersey invites applications for an hourly data analyst who is expected to design, operate, and maintain electrical and electronic systems for solar-terrestrial research at NJIT in Newark. CSTR is a worldwide leading institution in solar and space physics, operating scientific instruments for geospace environment studies in the polar regions including the Arctic and Antarctic.

The position is anticipated to start in August 2026. The selected candidate will work primarily with Professor of NJIT, Dr. Hyomin Kim as well as the other faculty members and engineers from the other institutes.

The deadline for applications is August 10th, 2026. Candidates will need to submit a curriculum vitae, a brief statement of research or work experiences, and the names of three professional references. Questions may be directed to Hyomin Kim (hmkim@njit.edu).

Essential Functions:

  • Operation, service/maintenance, and upgrade of scientific instruments such as magnetometers, RF transmitter/receivers, imaging systems.

  • Data acquisition and transmissionover the internetor Iridium satellite link.

  • Design/construction of a 100-200-W level, battery-operated power platform with solar panels and wind turbines for reliable, autonomous data acquisition and transmission in extremely cold weatherconditions.

  • Data processing for scientific applications.

Prerequisite Qualifications:

  • Bachelor or Master's degree in electrical engineering or related field.

  • Ability to travel domestically and internationally and perform field work in remote locations.

  • Excellent verbal/written communication skill to work with researchers and engineers.

Compensation:
  • $40/hour

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.

Range:Hourly Employees

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-ExemptTime Type:Part timePay Rate:HourlyAdditional Information:

As an EEO employer NJIT is committed to building a diverse and inclusive teaching, research, and working environment and strongly encourages applications from individuals with disabilities, minorities, veterans, and women.


Employment at NJIT is subject to the provisions of New Jersey First Act which mandates new employees, who are not NJ residents, to establish primary residence in New Jersey within one year of their appointment to certain positions. The law does not apply to any individual employed at NJIT on a temporary or per semester basis as a visiting or adjunct professor, teacher, lecturer, researcher or administrator. For more information on the act please click here.


If special accommodations are needed in applying for a position, please visit the Department of Human Resources located in Fenster Hall, 5th Floor, University Heights, Newark, NJ 07102 or call (973) 596-3140. If you have questions, please email the Human Resources Department at hr@njit.edu.


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