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Entry Level Data Analyst Jobs in Riverside, CA (NOW HIRING)

Corvel

Security Analyst I

$70K - $116K/yr

This entry-level role contributes to protecting company data, supporting audit activities, and ... Perform basic risk and control analysis under supervision * Support ongoing security and compliance ...

HNTB

Aviation Planner - Entry Level

Santa Ana, CA · On-site

$74K - $111K/yr

The successful candidate will bring experience in either drawing based software (AutoCAD, Revit, etc.) and/or data analysis/programming languages (Excel, VBA, Python, etc,). This position can be ...

AECOM

Entry Level Structural Engineer

Orange, CA · On-site

Builds analytic and design skills. * Conducts engineering design under the supervision of an ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

AECOM

Entry Level Structural Engineer

Orange, CA · On-site

Builds analytic and design skills. * Conducts engineering design under the supervision of an ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

AECOM

Entry Level Structural Engineer

Orange, CA · On-site

Builds analytic and design skills. * Conducts engineering design under the supervision of an ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

Essc

Claims Examiner 2

Irvine, CA · On-site

$29.33 - $36.54/hr

Provides assistance in special projects and guidance to entry level staff as required. ESSENTIAL ... Highly proficient in Excel, utilizing formulas, filters, data analysis features, pivot tables ...

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Entry Level Data Analyst information

See Riverside, CA salary details

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$34

$64

How much do entry level data analyst jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level data analyst in Riverside, CA is $34.35, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $38.37 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level 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:
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What job categories do people searching Entry Level Data Analyst jobs in Riverside, CA look for? The top searched job categories for Entry Level Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Data Analyst jobs? Cities near Riverside, CA with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 53% Full Time, 10% Part Time, 6% Temporary, and 31% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $71,451 per year, or $34.4 per hour.
Solutions Analyst I

Solutions Analyst I

Specialty Equipment Market Association

Diamond Bar, CA • On-site

$80K - $90K/yr

Full-time

Posted 18 days ago

Job description

Description:

ORGANIZATION OVERVIEW:

The Specialty Equipment Market Association (SEMA) serves as a leading voice for the worldwide car culture, representing over 7,000 member companies that create, buy, sell, and use specialty-automotive parts that make vehicles more unique, attractive, convenient, safer, fun, and even like new again. Business member benefits include product development resources, market research, networking, education, legislative advocacy and more. The Association organizes the annual SEMA Show in Las Vegas, Nev., and actively supports the career and business opportunities that the aftermarket generates. The industry contributes nearly $337 billion in economic impact to the U.S. economy, supports 1.3 million jobs nationally, and generates $52 billion in parts sales annually. For more information, visit www.sema.org.


Position Summary:

We are seeking a Solutions Analyst I to support the design, analysis, and optimization of business systems across a complex digital ecosystem. This role sits at the intersection of business operations and technology, working closely with the Solutions Architect to investigate issues, define requirements, and implement system improvements across platforms such as Salesforce (Nimble AMS), various web properties, and integrated third-party systems.


This is not a traditional entry-level role. We are looking for a curious, systems-oriented thinker who enjoys solving problems, connecting data across platforms, and understanding how things work under the hood.


What You’ll Do:


Problem Investigation & Analysis:

  • Analyze business processes and system behaviors to identify root causes of issues
  • Trace data across systems (e.g., Salesforce objects, integrations, APIs)
  • Assist in debugging issues related to orders, payments, user access, and workflow

System Support & Configuration:

  • Support configuration and updates within Salesforce (Flows, fields, page layouts, validation rules)
  • Assist with testing and validating system changes across environments (Dev, Staging, Production)
  • Collaborate on system integrations and data flow mapping

Documentation & Process Mapping:

  • Translate technical and business requirements into clear documentation
  • Create process flows, system diagrams, and functional specs
  • Maintain documentation for ongoing projects and system behavior

Collaboration:

  • Work with cross-functional teams including Marketing, IT, Membership, Accounting, Show, Government Affairs and external vendors
  • Participate in solution discussions and contribute insights during planning sessions
  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders

Pay Range: $80,000 - $90,000


Requirements:

What We’re Looking For:
Core Traits:

  • Naturally curious — you ask “why” and “how” until things make sense
  • Strong problem-solving mindset — you enjoy breaking down complex issues
  • Systems thinker — you can connect how different tools and data points relate
  • Comfortable navigating ambiguity and figuring things out independently

Technical Exposure (Not All Required):

  • Familiarity with CRM platforms (Salesforce preferred)
  • Basic understanding of relational data (objects, fields, relationships)
  • Exposure to web technologies, APIs, or system integrations
  • Experience with tools like Excel, SQL, or similar data/query tools is a plus

Communication:

  • Able to clearly document processes and explain technical concepts simply
  • Comfortable asking questions and collaborating across teams

What Success Looks Like:

Within 90 days, you will:

  • Understand core business processes and system architecture
  • Independently investigate and document system issues
  • Support small system enhancements and configurations
  • Contribute to improving documentation and process clarity


This job description is not intended to be and should not be construed as an all-inclusive list of all responsibilities, skills, relationships or working conditions associated with the position. While it is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add or remove duties and to assign other duties as necessary.