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Hourly Data Analyst Jobs in Riverside, CA (NOW HIRING)

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

FieldAI

Field Data Analyst

Irvine, CA

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable. Responsibilities : • Validate ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring that operational data is accurate and actionable. Responsibilities : • Validate ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision ...

Turtle Rock Studios

Senior Data Analyst

Irvine, CA · On-site

$100K - $140K/yr

We're looking for a Senior Data Analyst to drive data-informed decision-making across our studio. You'll be at the intersection of engineering, analytics, and strategy. Working hands-on at all layers ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing, maintaining, and enhancing data visualization, reporting, and collaboration platforms. This entry-level ...

CACI

Data Analyst with Security Clearance

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

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All JobsHourly Data Analyst JobsHourly Data Analyst Jobs in Riverside, CA

Hourly Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do hourly data analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for hourly data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What is an Hourly Data Analyst?

An Hourly Data Analyst is a professional who is hired on an hourly basis to collect, process, and interpret data to help organizations make informed decisions. Their tasks often include cleaning data, running analyses, creating reports, and visualizing results using tools like Excel, SQL, or specialized analytics software. Hourly Data Analysts may work on short-term projects or provide ongoing support, depending on the employer's needs. This flexible arrangement can be ideal for companies with fluctuating workloads or specific analytical projects.

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 in data interpretation, and a relevant educational background such as a degree in statistics, mathematics, or a related field. Familiarity with data analytics tools like Excel, SQL, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving skills, and effective communication help you present insights clearly and work collaboratively with teams. These skills are crucial for transforming raw data into actionable information that supports informed decision-making.

What are some common challenges Hourly Data Analysts face when managing multiple data projects simultaneously?

Hourly Data Analysts often juggle several projects at once, which can make prioritizing tasks and meeting tight deadlines challenging. Effective time management and clear communication with project stakeholders are key to staying organized and ensuring data quality. Additionally, since analysts may work across departments, adapting to different data systems and reporting requirements is common. Building strong collaboration skills and proactively seeking clarification on project goals can help navigate these challenges successfully.
What are the most commonly searched types of Data Analyst jobs in Riverside, CA? The most popular types of Data Analyst jobs in Riverside, CA are:
What are popular job titles related to Hourly Data Analyst jobs in Riverside, CA? For Hourly Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Hourly Data Analyst jobs in Riverside, CA look for? The top searched job categories for Hourly Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Hourly Data Analyst jobs? Cities near Riverside, CA with the most Hourly Data Analyst job openings:
Hourly Data Analyst jobs near you
Infographic showing various Hourly Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Field Data Analyst

FieldAI

Irvine, CA

$75K - $115K/yr

Full-time

Re-posted 25 days ago

Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
About the role:

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key ResponsibilitiesData Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.
Required Qualifications
  • Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem-solving ability and attention to detail
Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.