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Hourly Data Analytics Jobs (NOW HIRING)

Samsung SDS

Data analytics architect

San Jose, CA

Design scalable data analytics platform and solutions; Make architectural decisions for the data analytics platform and solutions; Assess, benchmark and select data analytics technologies to be added ...

Motocol

Data analytics Architect

San Jose, CA

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Everest

Data Analyst - Data & Analytics

Warren, NJ · Hybrid

$88K - $125K/yr

Data Analyst - Data & Analytics Company: Everest Global Services, Inc. Job Category ... Analytics About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year ...

CACI International Inc

Data Analytics

Albuquerque, NM · On-site

In this role, you will build scalable data frameworks, drive high-impact analysis, and partner closely with subject-matter experts to uncover meaningful insights within complex data environments.

TECO

Data Analytics Architect

Tampa, FL

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Humetis Group

Data Analytics Specialist

Burlington, MA · On-site

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We are seeking a detail-oriented and forward-thinking Data Analytics Specialist to join our team on a ...

NorthShore

Manager, Data Analytics

Warrenville, IL · On-site

$58.50 - $90.68/hr

Hourly Pay Range: $58.50 - $90.68 - The hourly pay rate offered is determined by a candidate ... Manager, Data Analytics * Location: Warrenville, IL or Skokie, IL or Arlington Heights, IL ...

Endeavor Health

Manager, Data Analytics

Warrenville, IL · On-site

$58.50 - $90.68/hr

Hourly Pay Range: $58.50 - $90.68 - The hourly pay rate offered is determined by a candidate ... Manager, Data Analytics * Location: Warrenville, IL or Skokie, IL or Arlington Heights, IL ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

TECO

Data Analytics Architect

Tampa, FL · On-site

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect ...

Kia America

Data & Analytics Specialist

Irvine, CA · On-site

Status Exempt General Summary The Data & Analytics Specialist plays an important role in executing data analysis and delivering insights to support Kia America's Mobility and Remarketing business.

Kia America

Data & Analytics Specialist

Irvine, CA · On-site

Status Exempt General Summary The Data & Analytics Specialist plays an important role in executing data analysis and delivering insights to support Kia America's Mobility and Remarketing business.

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How much do hourly data analytics jobs pay per hour?

As of Jun 22, 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.

How much do data analysts charge per hour?

Data analysts typically charge between $25 and $100 per hour, depending on experience, location, and project complexity. Freelance analysts or those with specialized skills in tools like SQL, Python, or Tableau may command higher rates, especially for short-term or consulting work.

Do data analysts get paid by the hour?

Data analysts working hourly are paid based on the number of hours they work, with rates varying depending on experience, location, and industry. Many data analysts are employed as salaried employees, but hourly positions are common for freelance or contract roles, especially when project-based work or flexible schedules are involved.

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 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.

Is 40 too late for data science?

For an hourly data analytics role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and practical experience are key factors in entering the field at any age.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and domain knowledge that AI cannot fully replicate, so demand for human analysts remains strong alongside technological advancements.

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 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.

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 Analytics jobs near you
Data analytics architect

Data analytics architect

Samsung SDS

San Jose, CA

Full-time

Posted yesterday

Samsung SDS America rating

6.8

Company rating: 6.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

132nd of 204 rated it services

Job description

Company Description

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success

At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.


Job Description

We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.


Location: San Jose, CA

Qualifications

Responsibilities:

Collaborate with business analysts and data scientists in eliciting and articulating solution requirements;

Design scalable data analytics platform and solutions;

Make architectural decisions for the data analytics platform and solutions;

Assess, benchmark and select data analytics technologies to be added to the big data platform;

Support development lead in determining architecturally significant requirements for data analytics solutions;

Design big data platform API;

Provide guidance and mentor developers in the data analytics team;

Skills:

Required

In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper);

Experience with Business Intelligence frameworks and ETL tools;

Proficiency in the Java programming language;

Proficiency in the Unified Modeling Language;

Experience with RDBMS and SQL;

Experience architecting systems following the REST architectural style;

Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit);

Practical experience with the Scala programming language (desirable);

Practical experience with the Play web framework (desirable);

High-level knowledge on the Spark eco-system;

B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required


Additional Information

Tanya Danylevska

Human Resources

Samsung SDSA


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