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Hourly Data Analyst Startup Jobs (NOW HIRING)

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... Building proactive analysis through data mining to identify trends and opportunities for product ...

... rapidly growing startup. Our product combines digital technology, advertising, consumer ... analytical mind with creative problem-solving skills to use data to drive success. The ideal ...

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

We are looking for a talented Data Analyst to join one of our the most growing series A startup in the Bay Area. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting ...

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 ...

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Lean Startup lets us turn those ideas into business models that work, quickly and for the least ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

Data Analyst

San Antonio, TX · On-site

$70K - $83K/yr

The Data Analyst role is a strong fit for someone who is genuinely curious about the data they work with and enjoys collaborating in a fast-paced, startup-like environment. They enjoy uncovering the ...

About The Role We're looking for an Analytics Engineer / Data Analyst to unlock the value of our ... Experience working in a startup or early-stage data team where you had to build the foundation, not ...

Data Analyst

San Francisco, CA · On-site

$55K - $120K/yr

Reconcile financial and transactional data from multiple sources to enable accurate, repeatable ... Startup mindset: Not scared of ambiguity and hungry for rapid growth * Intensity & Ownership: This ...

Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification ... The Role As a Customer Data Analyst, you'll turn our utility customers' data into actionable ...

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

Company Description kWantera is a venture-backed startup company dedicated to helping companies manage their energy. Our team of quantitative energy market analysts work with our big data analytics ...

Data Analyst

New York, NY · On-site +1

$21 - $32/hr

This is a full-time remote position based in United States , offering an hourly wage of $21 - $32 ... Develop and implement databases, data collection systems, and data analytics strategies that ...

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Hourly Data Analyst Startup information

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$34K

$82.6K

$136K

How much do hourly data analyst startup jobs pay per year?

As of Jul 27, 2026, the average yearly pay for hourly data analyst startup in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 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 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.
More about Hourly Data Analyst Startup jobs
What cities are hiring for Hourly Data Analyst Startup jobs? Cities with the most Hourly Data Analyst Startup job openings:
What are the most commonly searched types of Data Analyst Startup jobs? The most popular types of Data Analyst Startup jobs are:
What states have the most Hourly Data Analyst Startup jobs? States with the most job openings for Hourly Data Analyst Startup jobs include:
Infographic showing various Hourly Data Analyst Startup job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Hourly Data Analyst

$35 - $50/hr

Other

Posted 20 days ago


Job description

Title:
Hourly Data Analyst
Department:
Center for Natural Resources
Reports To:
Director, Center for Natural Resources
Position Type:
Staff
Position Summary:
The Hourly Data Analyst (part-time) will play a key role in REACH project at the Center for Natural Resources (CNR). This position will evaluate machine learning approaches and implement techniques for deep learning as applied to various storms over different watersheds.
Essential Functions:
-Evaluate various machine learning approaches.
-Implement various techniques for deep learning as applied to various storms over different watersheds.
-Forecast based on easily measurable quantities the water level and streamflows at various locations.
-Provide progress reports to Dr. Boufadel.
-Performs other related duties as assigned or requested by the Center Director

Prerequisite Qualifications:
-PhD in Computer Science, Data Science or equivalent or related disciplines.
-Experience working with research centers, government-funded environmental projects (e.g., NJDEP, EPA, NOAA).
-Experience with application of machine learning in Environmental projects.
-Experience collaborating with scientists, engineers, and community partners on outreach initiatives.
-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.
Preferred Qualifications:
-Ability to work independently from the Center Director, and to communicate effectively using emails.
-Effective communication and writing skills.

Salary Information:
In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $35.00-$50.00 (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

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