ZipRecruiter

Log In

2

Entry Level Data Analysis Jobs in California (NOW HIRING)

Emonics LLC

Entry Level Data Engineer

San Jose, CA

$134K - $161K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of ... with cloud data platforms Support analytics teams Requirements Knowledge of SQL and Python ...

Tactical Engineering & Analysis

Test Analyst

San Diego, CA · On-site

$80K - $125K/yr

Perform analysis of system extracted test data, to validate tactical message handling and system ... SKILLS & ABILITIES An Entry level Test Analyst will have a foundational understanding of the ...

Tactical Engineering & Analysis

Test Analyst

San Diego, CA · On-site

$80K - $125K/yr

Perform analysis of system extracted test data, to validate tactical message handling and system ... SKILLS & ABILITIES An Entry level Test Analyst will have a foundational understanding of the ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ... Perform advanced data analysis, including cleaning, structuring, and interpreting large datasets to ...

TEKsystems

Regulatory Data Analyst

Canoga Park, CA

$26 - $40/hr

This Is A Strong Entry-Level Opportunity For Someone Who Is Analytical, Organized, And Interested In Healthcare Data And Regulatory Work. Summary You'll Work Directly With Health Plans And Internal ...

next page

Showing results 1-20

All JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in California

Entry Level Data Analysis information

See California salary details

$13

$32

$60

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

As of Jun 17, 2026, the average hourly pay for entry level data analysis in California is $32.50, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

How to get hired as an entry-level data analyst?

To get hired as an entry-level data analyst, candidates should develop foundational skills in data analysis tools like Excel, SQL, and Python or R, and build a portfolio of relevant projects. Earning certifications such as Microsoft Data Analyst Associate or Google Data Analytics can improve prospects, along with gaining internship experience or completing relevant coursework. Strong communication skills and the ability to interpret data for non-technical audiences are also important.

Can I be a data analyst with no 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 is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

Is 40 too late for data science?

Entry level data analysis roles are accessible at any age, including at 40 or older. Success depends on acquiring relevant skills such as proficiency in Excel, SQL, and data visualization tools, as well as building a strong portfolio and gaining practical experience. Age is less important than skills, continuous learning, and adapting to industry tools and methods.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, such as data cleaning and basic reporting, but they do not replace the need for skilled data analysts. Entry-level data analysis roles still require critical thinking, domain knowledge, and interpretation skills that AI cannot fully replicate. Professionals who develop expertise in data visualization, programming, and statistical methods remain valuable in the field.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in California? The most popular types of Data Analysis jobs in California are:
What are popular job titles related to Entry Level Data Analysis jobs in California? For Entry Level Data Analysis jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in California look for? The top searched job categories for Entry Level Data Analysis jobs in California are:
What cities in California are hiring for Entry Level Data Analysis jobs? Cities in California with the most Entry Level Data Analysis job openings:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in California as of June 2026, with employment types broken down into 57% Full Time, 21% Part Time, 4% Temporary, and 18% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $67,590 per year, or $32.5 per hour.
Entry Level Data Engineer

Entry Level Data Engineer

Emonics LLC

San Jose, CA

$134K - $161K/yr

Other

Posted 3 days ago

Job description

Entry Level Data Engineer Job Description


We are hiring a Data Engineer to support the design and maintenance of data pipelines and ETL processes. The candidate will help manage large-scale data systems.


Responsibilities

Build and maintain ETL pipelines

Transform and clean datasets

Work with cloud data platforms

Support analytics teams

Requirements

Knowledge of SQL and Python

Understanding of databases and ETL concepts

Familiarity with cloud platforms

Basic knowledge of Spark or Hadoop is a plus

Emonics logo

About Emonics

Sourced by ZipRecruiter

Emonics LLC is a Certified Minority Business Enterprise as designated by the National Minority Supplier Diversity Council. Emonics provide the relevant talent at the right moment. We are a global technology firm with a strong customer focus and an IT and Engineering solutions provider catering to a diverse client base while focusing on finding solutions. We place high value on developing meaningful connections and conversations. We find, align, provide, and manage various managed IT and staffing services. Yes! It’s true! Our experts strive to become an extension of your HR department. We enable our clients to access top industry professionals. Our highly skilled team of specialists generates and integrates very profitable products and strategies. All our strategies are designed to help our clients reach their operational and financial objectives.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Piscataway, NJ, US

Year founded

2016

View All Emonics Jobs

Apply