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Junior 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 · 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 ...

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 ...

CACI International, Inc.

SQL Data Analyst

Riverside, CA · On-site

$142K/yr

SQL 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:

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

DATA ANALYST ENGINEER I

Norco, CA · On-site

The Data Analyst Engineer I will support Navy operations by developing and enhancing data visualization and reporting platforms, leveraging tools like Power BI and Tableau to provide actionable ...

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 ...

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All JobsData Analyst JobsJunior Data Analyst JobsJunior Data Analyst Jobs in Riverside, CA

Junior Data Analyst information

See Riverside, CA salary details

$36K

$82.8K

$133K

How much do junior data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for junior data analyst in Riverside, CA is $82,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

How to get a job as a junior data analyst with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also improve your chances and demonstrate your abilities to employers.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

More about Junior 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 Junior Data Analyst jobs in Riverside, CA? For Junior Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Junior Data Analyst jobs in Riverside, CA look for? The top searched job categories for Junior Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Junior Data Analyst jobs? Cities near Riverside, CA with the most Junior Data Analyst job openings:
Junior Data Analyst jobs near you
Infographic showing various Junior Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $82,785 per year, or $39.8 per hour.

Field Data Analyst

FieldAI

Irvine, CA

$75K - $115K/yr

Full-time

Re-posted 13 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 Responsibilities
Data 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
$75,000 - $115,005 a year
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.
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