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Data Analyst Jobs in Riverside, CA (NOW HIRING)

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link between product planning, strategic pricing, and sales execution for direct sales. This role is ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link between product planning, strategic pricing, and sales execution for direct sales. This role is ...

Data Analytics Analyst

Irvine, CA · On-site

$69.30K - $103.77K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link between product planning, strategic pricing, and sales execution for direct sales. This role is ...

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 ...

ERP Data Analyst

Riverside, CA · On-site

$150K - $175K/yr

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

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

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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 May 31, 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 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 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 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 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.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

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 in the foreseeable future.

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 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 cities near Riverside, CA are hiring for Data Analyst jobs? Cities near Riverside, CA with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Riverside, CA as of May 2026, with employment types broken down into 53% Full Time, and 47% Part Time. Highlights an 100% In-person job distribution, with an average salary of $86,216 per year, or $41.5 per hour.
Data Analytics Analyst

Data Analytics Analyst

Canon U.S.A., Inc.

Irvine, CA • Hybrid

$69.30K - $103.77K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Canon U.S.A. rating

7.6

Company rating: 7.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

66th of 137 rated electronics manufacturers


Job description

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link between product planning, strategic pricing, and sales execution for direct sales. This role is specialized within the RevOps ecosystem: you will focus on internal business unit reporting, program utilization, pricing efficacy, and deep-dive business analytics to drive informed decision-making. Success in this role requires a candidate who understands the B2B sales cycle and how Salesforce.com (SFDC) serves as the backbone of sales reporting. While you will manage essential workflows involving legacy enterprise systems, you will also be a primary architect for our future reporting landscape in Looker Studio, Microsoft Fabric and Power BI. You will play a key role in our department's digital transformation. We value technological agility and look for candidates who leverage modern tools-including Generative AI (GenAI)-to accelerate coding, automate manual processes, and navigate complex data environments.   This position is full time and offers a hybrid work schedule requiring you to be in the office Monday, Tuesday and Wednesday and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days).  Note that work schedules and office reporting requirements may change from time to time based on business needs.Your Impact1. Business Strategy & Profitability Analytics - Customer Segmentation: Analyze and define our customer base to identify "Who are our customers?" and categorize them by behavior, size, and loyalty - Profitability Modeling: Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins - Vertical Performance: Track and report on Gross Profit (GP) by Vertical, identifying trends in specific industries to help leadership pivot strategy - Predictive Insights: Use historical data to forecast which programs or product mixes will drive the most significant ROI for the direct sales force 2. Strategic Pricing & Business Intelligence - Reporting Architecture: Own and evolve the Power BI reporting suite that supports all business units - Financial Modeling: Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities - Executive Summaries: Consolidate data from disparate sources to provide "big picture" summaries and storytelling for Product Planning and Strategic Pricing leadership 3. Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and bridge gaps between Google Workspace and Microsoft-based legacy tools - AI-Augmented Productivity: Leverage Generative AI tools to assist in writing/debugging code (SQL/Python/Apps Script) and documenting complex legacy workflows 4. Sales Ecosystem Integration - CRM & Sales Cycle Alignment: Apply an understanding of the B2B sales cycle and Salesforce.com (SFDC) to ensure that item codes, pricing logic, and reporting structures align with field sales requirements About You: The Skills & Expertise You Bring- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience - Technical Proficiency: - Data Tools: Strong proficiency in SQL and Python for data manipulation - Visualization: Experience building advanced reports in Power BI (specifically for GP and Vertical analysis), Looker experience a plus - Modern Ecosystems: Familiarity with Microsoft Fabric and Google Apps Script and bridging Google/Microsoft environments - Systems: Working knowledge of Salesforce.com (SFDC) and legacy ERP environments - Business Acumen: - Strong Financial Literacy, specifically in calculating Gross Profit, ROI, and margin analysis - Solid understanding of B2B sales cycle and customer segmentation strategies - Experience: 3 to 5 years in a highly technical Data or Revenue Operations role. Experience in a product/solutions sales environment is highly preferred - GenAI Literacy: Familiarity with using Generative AI platforms to optimize technical workflows - Detail Orientation: Extreme attention to detail is required   We are providing the anticipated salary range for this role: $69,300 - $103,770 annuallyCompany OverviewAbout our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at www.usa.canon.com and connect with us on LinkedIn at https://www.linkedin.com/company/canonusa.

Who We Are

Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation.

What We Offer

You'll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits.

And Even More Perks!

-Employee referral bonus -Employee discounts -"Dress for Your Day" attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you can't get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers' site https://www.usa.canon.com/about-us/life-at-canon, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at https://www.usa.canon.com/about-us/life-at-canon. #CUSA Workstyle DescriptionHybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.Posting Tags#PM19 #LI-AV1 #LI-HYBRIDQualifications:- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience- Technical Proficiency:- Data Tools: Strong proficiency in SQL and Python for data manipulation- Visualization: Experience building advanced reports in Power BI (specifically for GP and Vertical analysis), Looker experience a plus- Modern Ecosystems: Familiarity with Microsoft Fabric and Google Apps Script and bridging Google/Microsoft environments- Systems: Working knowledge of Salesforce.com (SFDC) and legacy ERP environments- Business Acumen:- Strong Financial Literacy, specifically in calculating Gross Profit, ROI, and margin analysis- Solid understanding of B2B sales cycle and customer segmentation strategies- Experience: 3 to 5 years in a highly technical Data or Revenue Operations role. Experience in a product/solutions sales environment is highly preferred- GenAI Literacy: Familiarity with using Generative AI platforms to optimize technical workflows- Detail Orientation: Extreme attention to detail is requiredWe are providing the anticipated salary range for this role: $69,300 - $103,770 annuallyEmployment Type: OTHER

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