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Data Analyst Jobs in Riverside, CA (NOW HIRING)

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 ...

MeridianLink, Inc.

Sr. Data Analyst

Irvine, CA

$130K - $150K/yr

MeridianLink, Inc. has the following position available in Irvine, CA: Sr. Data Analyst (ML-XZ): Use Python & other programming tools for data analysis, machine learning, model building, & model ...

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 ...

INSPYR Solutions

Marketing Data Analyst

Irvine, CA · On-site

$40 - $45/hr

Marketing Data Analyst The client is looking for a Marketing Data Analyst (contract) to support content performance tracking, reporting, and insights development for multiple social content and ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/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 ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/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 ...

Canon Careers

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/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 ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · On-site

$69K - $103K/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 ...

Canon U.S.A., Inc.

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/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 ...

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Showing results 1-20

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 Jun 20, 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 at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

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 communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job 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.
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
Junior Data Analyst

Junior Data Analyst

Datafied

Anaheim, CA • On-site, Remote

Full-time

Posted 23 days ago

Job description

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-making. The ideal candidate will have a strong foundation in data analysis, reporting, and process improvement, with a high level of proficiency in Microsoft Excel.

Requirements

Key Responsibilities

  • Analyze data using statistical techniques and deliver clear, actionable reports.
  • Design, develop, and maintain databases and data collection systems to optimize data quality and efficiency.
  • Extract and clean data from various sources to ensure accuracy and consistency.
  • Identify trends, patterns, and correlations in complex datasets to support business initiatives.
  • Maintain and enhance existing reporting tools and dashboards to ensure continuous data flow and usability.
  • Collaborate with cross-functional teams to prioritize information needs and support business objectives.
  • Document and update standard operating procedures for data-related tasks and reporting processes.
  • Proactively identify opportunities for process improvements and automation.
  • Ensure timely and accurate completion of assigned tasks with a commitment to quality.

Required Qualifications

  • Proficiency in Microsoft Excel (including pivot tables, formulas, and macros).
  • Strong analytical and problem-solving skills.
  • Experience working with large datasets and multiple data sources.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders.
  • Self-motivated with a strong sense of ownership and attention to detail.

Remote Work Requirements

  • Hard-wired ethernet connection.
  • Safe and secure workspace.
  • Ability to maintain confidentiality in a remote setting.

Preferred Qualifications

  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with SQL or other query languages.
  • Exposure to Python, R, or other data analysis tools.
  • Experience working in a fast-paced or cross-functional environment.
  • Experience working with Microsoft SharePoint and the broader Microsoft Office Suite (e.g., Outlook, Teams, Word, PowerPoint)

Key Competencies

  • Strong attention to detail and accuracy.
  • Effective communication and collaboration skills.
  • Ability to manage multiple tasks and meet deadlines.
  • Analytical mindset with a proactive approach to problem-solving.

Benefits

  • Collaborative culture with a focus on innovation and continuous learning.
  • Competitive compensation and benefits package.

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