1

Hourly Data Analytics Jobs (NOW HIRING)

Data Analytics Location: Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1 ...

I have an opportunity for "Data Analytics @ 100% Remote" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

Data Analytics- II

Bridgewater, NJ · Hybrid

$50 - $52/hr

Bridgewater, NJ Salary: $50.00 USD Hourly - $52.00 USD Hourly Description: Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model: Hybrid - 3 days in office per week but ...

1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4.    Candidate should be able to assist ...

The role involves engaging with sponsors, analyzing data, and delivering insights to support strategic decision-making. Responsibilities : • Assist in identifying sources of information and ...

They are seeking an intermediate level Data Scientist to support their Business Analytics and Acquisition Affordability Department, focusing on cost estimation, investment economics, and strategic ...

TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE) RELOCATION IS FINE DURATION: INITIAL 6-12 MONTHS + OPTIONS TO EXTEND - LONG TERM CONTRACT ROLE ...

Data Analytics

Albuquerque, NM · On-site

$71K - $150K/yr

Data Analytics Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

Data Analytics Developer Information Technology Department Position Summary: Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics ...

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 ...

Background Details Workplace Solutions Data Analytics Management is a growing team that is focused on the sourcing, development, maintenance, and delivery of data and reporting/analytics solutions to ...

Develop and maintain Power BI dashboards and analytical products * Integrate data from multiple government systems * Perform data extraction, transformation, and loading (ETL) * Develop workforce ...

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 ...

next page

Showing results 1-20

Hourly Data Analytics information

See salary details

$24

$54

$94

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:

Full-time

Posted 5 days ago


Job description

Job Description:
Location: Santa Clara, CA
1. Strong in advance SQL
2. Good at data analysis
3. Should be able to build BI dashboards using Tableau & Power BI
4. Candidate should be able to assist business stakeholders to build their dashboards
Supply chain domain knowledge
Interview: BB test + L1 + 3 end customer round
Data Analytics role:
3 Positions:
1: Strong SQL, Tableau & Data Analytics
2. Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python
3. Strong SQL, Tableau ,Databricks and AWS with Domain specific