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Hourly Data Analytics Jobs (NOW HIRING)

Role : Data Analytics Location: Santa Clara, CA (on-site) FTE & Contract Both Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1. ...

Data Analytics

Redmond, WA · On-site +1

$141K - $171K/yr

Analyze data using a variety of tools and data analysis techniques. Present findings and ... Additionally, hourly/non-exempt employees accrue up to 120 hours paid vacation time, and salaried ...

Data Analytics Location: Santa Clara, CA (Onsite) Required Skills: * Strong Advanced SQL experience * Strong Data Analytics background * Experience building BI Dashboards using Tableau & Power BI

Data Analytics Immediate need for a Data Analytics for a position in the IT Industry. This is a 12+ months contract opportunity with long-term potential located in EI Segundo, CA. Please review the ...

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Hourly Data Analytics information

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How much do hourly data analytics jobs pay per hour?

As of May 27, 2026, the average hourly pay for hourly data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What are hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader 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.

More about Hourly Data Analytics jobs
What cities are hiring for Hourly Data Analytics jobs? Cities with the most Hourly Data Analytics job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Hourly Data Analytics jobs? States with the most job openings for Hourly Data Analytics jobs include:
Hourly Data Analyst

$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