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Data Analytics Jobs in Riverside, CA (NOW HIRING)

Data Analyst

Riverside, CA · On-site

$142K/yr

... Analytics team at Naval Surface Warfare Center (NSWC) Corona. The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst ...

... Analytics team at Naval Surface Warfare Center (NSWC) Corona. The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst ...

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a related field * 0-2 years of experience in data analytics, business intelligence, or a related technical ...

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related field. * Zero to two years of experience in data analysis or a ...

Showing results 21-40

Data Analytics information

See Riverside, CA salary details

$25

$57

$98

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Riverside, CA is $57.12, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $64.71 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Riverside, CA? The most popular types of Data Analytics jobs in Riverside, CA are:
What are popular job titles related to Data Analytics jobs in Riverside, CA? For Data Analytics jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Data Analytics jobs? Cities near Riverside, CA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Riverside, CA as of August 2026, with employment types broken down into 2% Internship, 80% Full Time, 7% Part Time, 2% Temporary, and 9% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $118,800 per year, or $57.1 per hour.

Data Analyst (Korean Bilingual)

Intac Solution

Santa Ana, CA

$32 - $42/hr

Full-time

Posted 23 days ago


Job description

Job Title: Logistics Risk Analyst
Clint: Samsung
Rate: $38-$40
Work Location: 3 MacArthur Place, Santa Ana, CA, USA
Work Schedule: Fully onsite
Length of Assignment: 12 months
**Bilingual Korean not required but strongly preferred
Education and Years of Experience:
1) Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
2) 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
Top Skills:
1. Excel(Pivot, Lookup, data matching amp; compare),
2. Communication
3. Analysis
Role Summary
Logistics Risk Analyst focuses on data-driven identification, analysis, and monitoring of logistics risks. This role serves as the analytical engine of the logistics risk management function, transforming operational data into actionable insights.
Key Responsibilities
-Analyze logistics data from TMS, WMS, ERP, and claims systems to identify risk patterns and anomalies.
-Develop and maintain logistics risk dashboards, KPIs, and early-warning indicators.
-Track trends in loss, damage, delay, and service failures.
-Support root cause analysis with quantitative evidence and data modeling.
-Prepare regular risk reports and ad-hoc analyses for management review.
-Partner with IT and operations teams to improve data quality and system integration.
-Support audits, compliance reviews, and risk assessments with data analysis.
-Recommend process improvements based on data findings.
Qualifications:
- Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
- 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
-Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.).
-Familiarity with TMS/WMS and logistics performance metrics.
-Experience handling large datasets and building dashboards.
Core Competencies
-Strong analytical and quantitative skills
-High attention to detail and data accuracy
-Ability to translate data into business insights
-Structured analysis

Intac Solution logo

About Intac Solution

Sourced by ZipRecruiter

Intac Solution, established in 2015 in Dallas, TX, started up with a group of leaders with over 15 years of experience in the mobile device engineering industry. Our company specializes in discovering talents and serving solutions to S/W & H/W Development, Testing Outsourcing, Market Research & Data Analysis to provide limitless solutions to Client Projects. We are dedicated to make sure our clients receive high quality services by providing options to continuously monitor status and quality of different projects. Currently employing over 300 members across the board, ITS is a fast growing company due to its performance, resources, and innovated services. In 2017, within 2 years of establishment, we expanded providing resourcing services to clients to different locations within the United States. ITS is continuing to grow by completing new team projects effectively and successfully.

Industry

Marketing

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US