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Entry Level Data Jobs in California (NOW HIRING)

CCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant CCS Global Tech is a Microsoft Solutions Partner and technology consulting company helping recent STEM graduates launch careers in Data, Cloud, Business Intelligence ...

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SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of information to client trends and patterns

Boeing

Entry Level Engineering Data Author

San Diego, CA · On-site

$43K - $57K/yr

Entry Level Engineering Data Author Company: The Boeing Company Boeing Commercial Airplanes, Illustrated Parts Catalog organization is seeking a motivated Entry-Level Engineering Data Author to join ...

Boeing

Entry Level Engineering Data Author

San Diego, CA · On-site

$43K - $57K/yr

Entry Level Engineering Data Author Company: The Boeing Company Boeing Commercial Airplanes, Illustrated Parts Catalog organization is seeking a motivated Entry-Level Engineering Data Author to join ...

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

From staffing to full implementation of projects we provide the highest quality IT Services. We Focus on Java/Full stack and Data Science/Machine learning/Python/AI candidates. You'll be responsible ...

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Entry Level Data information

See California salary details

$10

$19

$27

How much do entry level data jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for entry level data in California is $19.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.59 per hour, depending on experience, location, and employer.

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

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

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 skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.
What are the most commonly searched types of Data jobs in California? The most popular types of Data jobs in California are:
What cities in California are hiring for Entry Level Data jobs? Cities in California with the most Entry Level Data job openings:
Entry Level Data jobs near you
Entry Level Data/AI Engineer

Entry Level Data/AI Engineer

CCS Global Tech

San Diego, CA • On-site

$121K - $146K/yr

Other

Posted yesterday

Job description

Entry-Level Data & AI Consultant

CCS Global Tech is a Microsoft Solutions Partner and technology consulting company helping recent STEM graduates launch careers in Data, Cloud, Business Intelligence, and AI. Through our Talent Development Program, candidates receive structured training, hands-on project preparation, career support, and real-world client experience through our train-to-hire career development pathway.


Our program now includes Data Track and AI Track, preparing candidates for opportunities in data engineering, business intelligence, cloud data platforms, SQL development, AI-enabled data solutions, and enterprise technology consulting.

Candidates will gain exposure to in-demand tools and technologies such as SQL, T-SQL, Python, Power BI, Tableau, Azure, AWS, Snowflake, Databricks, Data Warehousing, Data Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts.


Potential Career Paths:

  • Data Analyst
  • Business Analyst
  • BI Developer
  • SQL Developer
  • Data Engineer
  • Data Integration Specialist
  • AI/Data Consultant

What We’re Looking For:

  • Bachelor’s or Master’s degree in Computer Science, Business Analytics, Mathematics, Computer Engineering, Information Technology, Data Science, or a related STEM field
  • SQL fundamentals and basic programming knowledge
  • Python knowledge preferred
  • Interest in Data, Cloud, BI, AI, or consulting career paths
  • Strong logical reasoning and communication skills
  • Valid U.S. work authorization, including OPT, Day1 CPT, Green Card, or U.S. Citizenship
  • Open to relocation within the United States after project placement



Apply