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

Tech Consulting

Data Scientist

Los Angeles, CA · On-site

We are seeking a motivated Entry-Level Data Scientist with a strong interest in database development, data analysis, and data management. The ideal candidate will assist in designing, developing ...

New

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Analyze large amounts of information to client trends and patterns * Classifier, Random Forest ... Good knowledge on Exploratory Data Analysis (EDA) * Hands on experience on platforms - Microsoft ...

CodersData LLC

Entry Level SAS Analyst

Glendale, CA · On-site

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

CodersData, LLC

Entry Level SAS Analyst

Glendale, CA · On-site

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

Robert Half

Financial Analyst - Entry Level

Los Angeles, CA · On-site

$23.75 - $27.50/hr

We are looking for an entry-level Financial Analyst to support a non-profit organization in Los ... Examine financial data sets to identify patterns, variances, and trends that support planning and ...

Ingrammicro

Financial Analyst - Corporate FP&A

Irvine, CA · On-site

$61K - $98K/yr

Corporate Financial Analyst - FP&A Data & Analytics The Corporate Financial Analyst is an entry-level role within Corporate FP&A with a strong focus on data analytics, financial systems, forecasting ...

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, CA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

JPL

Business Analyst (APX intern)

Pasadena, CA · On-site

This portfolio requires effective tools, data visibility, and process support to enable opportunity tracking, pipeline management, and informed strategic decision-making. This Business Analyst APX ...

Aston Carter

Financial Analyst III

Los Angeles, CA · On-site

$40 - $45/hr

Work with large and complex data sets to perform detailed financial and business analysis that ... High-performing, experienced Financial Analyst III-level profile, rather than entry-level ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Fullerton, CA

Entry Level Data Analyst information

See Fullerton, CA salary details

$13

$34

$64

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

As of Sep 8, 2026, the average hourly pay for entry level data analyst in Fullerton, 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.

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 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 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.

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.

More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Fullerton, CA?

The most popular types of Data Analyst jobs in Fullerton, CA are:

What are popular job titles related to Entry Level Data Analyst jobs in Fullerton, CA?

For Entry Level Data Analyst jobs in Fullerton, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst jobs in Fullerton, CA look for?

The top searched job categories for Entry Level Data Analyst jobs in Fullerton, CA are:

What cities near Fullerton, CA are hiring for Entry Level Data Analyst jobs?

Cities near Fullerton, 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 Fullerton, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $71,452 per year, or $34.4 per hour.

Data Scientist

Tech Consulting

Los Angeles, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Scientist

Job Type: Full-Time

Location: Candidate must be open to relocation.


We are seeking a motivated Entry-Level Data Scientist with a strong interest in database development, data analysis, and data management. The ideal candidate will assist in designing, developing, testing, and maintaining database solutions while working with large datasets and supporting data-driven business decisions. This role is ideal for recent graduates or candidates with internship or project experience who are eager to build their careers in ETL/SQL/Data development and database technologies.


Key Responsibilities

  • Develop, test, and maintain SQL queries, stored procedures, functions, views, and database objects.
  • Write efficient and optimized SQL queries to retrieve, analyze, and manage data.
  • Assist in designing and maintaining relational database structures.
  • Perform data extraction, transformation, validation, and loading activities.
  • Analyze data and generate reports to support business and operational requirements.
  • Troubleshoot and resolve database-related issues.
  • Monitor query performance and assist with database optimization.
  • Collaborate with developers, data engineers, business analysts, and database administrators.
  • Ensure data accuracy, consistency, integrity, and security.
  • Assist with database migration, integration, and data warehouse projects.
  • Document database designs, SQL scripts, technical processes, and solutions.
  • Stay updated with emerging database technologies and industry best practices.


Required Skills

  • knowledge of SQL programming.
  • Familiarity with relational databases such as SQL Server, Oracle, MySQL, or PostgreSQL.
  • Understanding of database concepts, including tables, relationships, keys, indexes, views, and constraints.
  • Knowledge of joins, subqueries, Common Table Expressions (CTEs), and window functions.
  • Basic understanding of stored procedures, functions, triggers, and database transactions.
  • Familiarity with database design and normalization concepts.
  • Basic knowledge of data analysis and reporting.
  • Understanding of data quality, validation, and integrity principles.
  • Familiarity with Git or other version control systems.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Good communication and teamwork abilities.


Preferred Skills

  • Experience with Microsoft SQL Server, Oracle Database, MySQL, or PostgreSQL.
  • Familiarity with ETL tools such as SSIS, Informatica, Talend, or AWS Glue.
  • Knowledge of data warehousing concepts, including star and snowflake schemas.
  • Exposure to reporting and visualization tools such as Power BI, Tableau, or SSRS.
  • Basic knowledge of Python or another programming language.
  • Familiarity with cloud database services on AWS, Azure, or Google Cloud Platform (GCP).
  • Understanding of database performance tuning and query optimization.
  • Exposure to Agile or Scrum development methodologies.


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