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Data Analyst Jobs in Riverside, CA (NOW HIRING)

KMC

Warranty Claims Data Analyst

Foothill Ranch, CA · On-site

$75K - $80K/yr

Conducts analysis/audit/review of warranty data/costs and provides detailed reporting for product/process improvement as needed; expands root problem analysis; proposes insights and solutions for ...

Canopy A&D

ERP Data Analyst

Ontario, CA · On-site

The ERP Data Analyst supports and optimizes the JobBOSS -> Epicor ERP system migration within an aerospace manufacturing environment. This role is responsible for maintaining data integrity ...

Canopy A&D

ERP Data Analyst

Ontario, CA · On-site

$150K - $175K/yr

The ERP Data Analyst supports and optimizes the JobBOSS -> Epicor ERP system migration within an aerospace manufacturing environment. This role is responsible for maintaining data integrity ...

Canopy A&D

ERP Data Analyst

Ontario, CA

The ERP Data Analyst supports and optimizes the JobBOSS -> Epicor ERP system migration within an aerospace manufacturing environment. This role is responsible for maintaining data integrity ...

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Showing results 41-60

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 Jul 25, 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.

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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
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 July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 76% In-person, 8% Hybrid, and 16% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.

Data Analyst (North American Quality Center - NAQC)

Hyundai Motor Company

Irvine, CA • On-site

$75K - $90K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Data Analyst

Hyundai's North American Quality Center (NAQC) is looking for a Data Analyst for the Strategy and Analysis Team.

The Team:

NAQC is the quality arm for Hyundai Motor Group (HMG)'s North American vehicle models. NAQC seeks to further Hyundai's goal of becoming the leading automotive manufacturer in North America by delivering uncompromising quality and exceeding consumer expectations.

The Data Analyst will support business operations by analyzing data, identifying trends, developing reports, and deliver actionable insights that drive quality improvements on Hyundai, Genesis, and Kia vehicles in North America. Collaborate with cross-functional and global teams to monitor quality issues, analyze external quality indicators and customer data, and escalate emerging quality cases.

What You Will Do
  • Understand and follow the department's business model, strategic direction, purpose, and mission.
  • Utilize internal and external data to identify and break down automotive quality problems. Deliver clear problems with targets for the investigation and new model teams to investigate.
  • Utilize text mining tools for topic generation and/or enrich existing datasets with generated features classification tasks.
  • Maintain reporting systems, dashboards and performance metrics that support key business decisions
  • Complete ad hoc data insights/requests as needed to support company goals.
  • Work with a moderate level of autonomy to achieve company goals
  • Communicate results and business impacts within the team and to management.
  • Collaborate with cross-functional teams and affiliates
  • Engage in on-the-job learning and follow best data practices.
What You Will Bring to the Role
  • Basic Qualifications:
    • Bachelor's degree in a quantitative field such as engineering, data science, computer science, business, math, or economics is preferred.
    • YOE for Engineer level I and II in data analysis or related field.
    • Solid foundation in data analysis and statistics.
    • Proficiency in SQL. Python or R are a plus.
    • Prior experience with data analytics tools, text mining tools, and data visualization software a plus.
    • Proficiency in MS Office, specializing in Excel, PowerPoint, Word, and Teams.
    • Strong written, oral, and interpersonal skills.
    • Must possess a strong analytical mindset.
    • Able to recognize the needs of the end user and create reproducible solutions that answer those needs quickly and efficiently.
    • Ability to explain technical topics to both technical and non-technical stakeholders
  • Preferred Qualifications: 
    • Master's degree in data science, computer science, business analytics, economics, mathematics, statistics, an engineering-related discipline, or a related field of study
    • Automotive industry experience 
    • Prior experience with automotive survey data a strong plus.
    • Understanding of vehicle systems
    • Alteryx, Tableau, or Python Data Science certification
What Hyundai Can Offer You
  • Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
  • 100% Employer-paid Disability and Life Insurance
  • Generous Paid Time Off, Including Vacation, Sick, and Abundant Holidays
  • Competitive Salaries
    • Range of Position: $75,000 ~ $90,000/Year
  • A Global Environment that Fosters Diversity
  • Retirement Savings and Planning Benefits
  • Access to Health Savings Accounts and Flexible Spending Accounts 
  • Flexible Work Hours
  • Fully On-Site Position
Other Details
  • Candidates applying for positions with Hyundai KIA must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
    • HATCI is an Equal Opportunity Employer including Disabled and Veteran. VEVRAA Federal contractor.

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