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

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 ... This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ...

Python Developer (Entry Level)

Ontario, CA · On-site

$51 - $70.50/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions ...

Chemist/ Jr Lab Technician

Pomona, CA · On-site

$22 - $29.50/hr

This entry-level opportunity is ideal for recent graduates or professionals with up to two years of ... Experience with analytical testing and laboratory data analysis. * Familiarity with Lean ...

Entry Level Accounting Clerk (prefect opportunity for fresh graduates) Location: Corona, CA Pay ... Support month-end and year-end close activities through data gathering and account analysis

Entry Level Accounting Clerk (prefect opportunity for fresh graduates) Location: Corona, CA Pay ... Support month-end and year-end close activities through data gathering and account analysis

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Java Architect (Remote)

Anaheim, CA · On-site

$66 - $89/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

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Entry Level Data Analyst information

See Rialto, CA salary details

$13

$33

$61

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

As of Jul 6, 2026, the average hourly pay for entry level data analyst in Rialto, CA is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $36.88 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.
What are the most commonly searched types of Data Analyst jobs in Rialto, CA? The most popular types of Data Analyst jobs in Rialto, CA are:
What are popular job titles related to Entry Level Data Analyst jobs in Rialto, CA? For Entry Level Data Analyst jobs in Rialto, CA, the most frequently searched job titles are:
What cities near Rialto, CA are hiring for Entry Level Data Analyst jobs? Cities near Rialto, CA with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Rialto, CA as of June 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,677 per year, or $33 per hour.
DATA ANALYST ENGINEER I

DATA ANALYST ENGINEER I

VSolvit

Norco, CA • On-site

$65K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago


Job description

**Position is ON SITE in Norco, CA**

Job Summary:
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 role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint to deliver actionable insights, automate reporting processes, and streamline workflows across teams. The ideal candidate will be a self-motivated individual with strong analytical skills, capable of transforming raw data into clear, value-added reports that improve decision-making and operational effectiveness. This position requires the ability to work in a fast-paced environment and proactively solve problems while supporting mission-critical Navy requirements.

As with any position, additional expectations exist. Some of these include, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), staying focused on the assigned tasks, and completing other tasks as assigned

Responsibilities:

  • Develop, design, and maintain interactive dashboards and reports in Power BI, Tableau, and Splunk to support leadership decision-making

  • Build and manage SharePoint sites to enhance collaboration, document sharing, and workflow efficiency

  • Perform advanced data analysis, including cleaning, structuring, and interpreting large datasets to identify trends and provide actionable recommendations

  • Automate recurring reporting processes and data pipelines to improve accuracy and reduce manual effort

  • Collaborate with stakeholders to understand requirements and deliver tailored data-driven solutions

  • Integrate data from multiple sources, ensuring consistency, accuracy, and security in reports and dashboards

  • Provide ongoing monitoring, troubleshooting, and improvement of existing dashboards and platforms

  • Recommend and implement workflow improvements, applying independent judgment to enhance performance and system stability

  • Document reporting logic, processes, and system configurations for transparency and repeatability

  • Support Navy compliance and security requirements when handling and presenting sensitive data


Basic Qualifications:

  • 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 role

  • Proficiency with Power BI, Tableau, Splunk, and SharePoint

  • Strong SQL and database query skills, with the ability to handle large datasets

  • Demonstrated ability to automate data workflows and reporting pipelines

  • Excellent problem-solving skills with strong attention to detail

  • Effective written and verbal communication skills for both technical and non-technical audiences

  • Must be a U.S Citizen

  • Must be able to obtain and maintain Secret level clearance

  • If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered

Preferred Qualifications:

  • Master’s degree in Data Analytics, Information Systems, or related technical discipline

  • 2–4 years of professional experience in data analytics, preferably within defense or government environments

  • Familiarity with Navy systems, compliance standards, and data security practices

  • Knowledge of scripting languages (Python, R, or similar) for advanced data processing and automation

  • Prior experience in workflow analysis and systems improvement to enhance stability and performance

  • Active DoD Secret clearance

Company Summary:

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.

VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.