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Entry Level Data Analysis Jobs in California (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

San Francisco, 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 ...

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 ...

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, 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 ...

Pwc

AI & GenAI Data Scientist - Manager

San Diego, 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 ...

Pwc

AI & GenAI Data Scientist - Manager

Sacramento, 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 ...

TEKsystems

Jr Healthcare Data Analyst

Fairfield, CA · Hybrid

$36/hr

The Data Analyst (EDI) will also be assisting EDI team in maintaining and running processes/jobs for electronic claims and other EDI transactions which in Experience Level Entry Level Job Type ...

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All JobsData Analysis 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 Sep 14, 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 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.

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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,590 per year, or $32.5 per hour.

Java Developer -Entry Level (Los Angeles) at Emonics LLC Los Angeles, CA

Los Angeles, CA • On-site

Shell Lubricants Hub Hamburg
See more jobs at Shell Lubricants Hub Hamburgexternal

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Posted 13 days ago

Job description

Java Developer -Entry Level (Los Angeles) job at Emonics LLC. Los Angeles, CA.

Position Overview

Emonics LLC is seeking a curious and motivated Machine Learning Intern to join our AI/ML team in Dallas. This internship provides hands‑on exposure to real‑world projects involving data analysis, model building, and algorithm optimization. It is an ideal opportunity for students or recent graduates who want to apply their academic knowledge in a professional setting and gain practical experience in machine learning and data science.

Key Responsibilities
  • Assist in developing, training, and evaluating machine learning models.
  • Preprocess, clean, and analyze datasets to extract valuable insights.
  • Support data scientists and engineers in implementing ML workflows and pipelines.
  • Research new algorithms and frameworks to improve model performance.
  • Visualize results and present findings to the project team.
  • Document methodologies, experiments, and outcomes for internal use.
Required Qualifications
  • Currently pursuing or recently completed a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
  • Fundamental understanding of machine learning algorithms (supervised and unsupervised).
  • Proficiency in Python and experience with ML libraries such as scikit‑learn, TensorFlow, or PyTorch.
  • Familiarity with data analysis tools like Pandas, NumPy, or Jupyter Notebooks.
  • Strong problem‑solving, analytical, and communication skills.
Preferred Qualifications
  • Exposure to cloud platforms (AWS, Azure, or GCP) for model deployment.
  • Experience with data visualization tools (Matplotlib, Seaborn, Power BI).
  • Previous internship, coursework, or personal projects in AI or ML.
What You’ll Gain
  • Hands‑on experience with real‑world datasets and ML development cycles.
  • Mentorship from experienced data scientists and engineers.
  • Opportunities to contribute to impactful AI solutions.
  • A potential path toward a full‑time position at Emonics LLC.
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