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Entry Level Data Jobs in California (NOW HIRING)

Tech Consulting

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Junior Data Analyst

California City, CA · On-site

$30 - $40/hr

Entry-Level Data Analyst Full-Time (W2) Candidate must open to relocate. We are looking for a detail-oriented and analytical Entry-Level Data Analyst to join our team. The ideal candidate will ...

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Aerotek

Data Labeling Specialist

San Jose, CA · On-site

$30/hr

Seeking entry level data specialists/IT for a startup robotics/AI company. Fresh graduates are encouraged to apply. ** Responsibilities * Use proprietary annotation tools to label objects, poses, and ...

Aerotek

Data Labeling Specialist

San Jose, CA · On-site

$30/hr

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...

Aerotek

Data Labeling Specialist

San Jose, CA · On-site

$30/hr

Seeking entry level data specialists/IT for a robotics/AI company. Fresh graduates are encouraged to apply. Responsibilities * Use proprietary annotation tools to label objects, poses, and ...

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 ...

TEKsystems

Logistics Associate

Santa Clara, CA · On-site

$27 - $28/hr

Data Center Logistics & Operations Technician (Entry-Level) Location: Southern San Francisco Bay Area Schedule: Alternating 36-hour and 48-hour workweeks Shift: 6:30 AM - 7:30 PM Position Overview We ...

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All JobsData JobsEntry Level Data JobsEntry Level Data Jobs in California

Entry Level Data information

See California salary details

$10

$19

$27

How much do entry level data jobs pay per hour?

As of Jul 24, 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
Infographic showing various Entry Level Data job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,974 per year, or $19.2 per hour.

Junior Data Analyst

Tech Consulting

California City, CA • On-site

$30 - $40/hr

Full-time

Medical, Dental, Vision, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Entry-Level Data Analyst

Full-Time (W2)

Candidate must open to relocate.


We are looking for a detail-oriented and analytical Entry-Level Data Analyst to join our team. The ideal candidate will collect, clean, analyze, and interpret data to help drive business decisions. This role is ideal for recent graduates or individuals beginning their careers in data analytics who are eager to learn and grow in a collaborative environment.


Key Responsibilities

  • Collect, clean, and validate data from multiple sources.
  • Analyze datasets to identify trends, patterns, and insights.
  • Create dashboards, reports, and visualizations using tools such as Excel, Power BI, or Tableau.
  • Prepare regular and ad hoc reports for stakeholders.
  • Write and optimize SQL queries to retrieve and manipulate data.
  • Assist in maintaining databases and ensuring data accuracy.
  • Collaborate with business teams to understand reporting requirements.
  • Support data-driven decision-making by presenting findings clearly.
  • Document data processes and maintain data quality standards.


Required Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field.
  • Basic knowledge of SQL.
  • Proficiency in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, formulas).
  • Familiarity with Power BI or Tableau is preferred.
  • Basic understanding of statistics and data analysis concepts.
  • Knowledge of Python (Pandas, NumPy, Matplotlib) is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Attention to detail and willingness to learn.


Preferred Skills

  • Experience with data visualization tools.
  • Understanding of relational databases.
  • Basic knowledge of ETL processes.
  • Ability to work with large datasets.
  • Time management and organizational skills.


What You'll Gain

Hands-on experience working with real business data.

Mentorship from experienced data professionals (10 weeks paid training + accomodation)

Opportunities to learn advanced analytics and business intelligence tools.

Career growth into Data Analyst, Business Analyst, or Data Scientist roles.


Experience

1-4 years of experience in data analytics, reporting, or a related field.

Fresh graduates with relevant projects or internships are encouraged to apply.


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