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Data Analyst Jobs in Riverside, CA (NOW HIRING)

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 ...

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 ...

VSolvit

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

The Data Analyst II will be responsible for transforming complex data into actionable insights, creating clear and informative visualizations, and supporting data-driven decision-making across the ...

VSolvit

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

The Data Analyst I will support data collection, data preparation, reporting, and visualization activities. This position will assist with transforming operational and business data into clear ...

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:

swipejobs LLC

ERP Data Analyst

Orange, CA · On-site

$20 - $22/hr

ERP Data Analyst Fullerton, CA | Monday-Friday | Full-Time | Temp-to-Hire Turn Data Into Better Business Decisions! Are you an analytical problem solver who enjoys working with data, ERP systems, and ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Riverside, CA

Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for 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 the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs

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 Data Analyst jobs in Riverside, CA?

For Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Riverside, CA look for?

The top searched job categories for Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Analyst jobs?

Cities near Riverside, CA with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Riverside, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Field Data Analyst

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world by building risk-aware AI systems. The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable.
Responsibilities:
• 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.
• 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.
• Generate clear performance reports and summaries for customers.
• Translate technical data into understandable insights.
• Support periodic reporting on autonomy performance and system behavior.
• 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.
• Improve internal data validation workflows.
• Support development of automated checks and dashboards.
• Maintain documentation of datasets, reporting templates, and QA procedures.
Qualifications:
Required:
• 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:
• 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
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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