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Entry Level Data Analyst Government Jobs in California

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 ... S. government, a post-employment ethics letter will be required if employment with VSolvit is ...

Landpoint

Remote Data Analyst

Fremont, CA · Remote

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

S. government, a post-employment ethics letter will be required if employment with VSolvit is offered Preferred : • Master's degree in Data Analytics, Information Systems, or related technical ...

VSolvit

Data Analyst 1

Norco, CA · On-site

The Data Analyst I will support data collection, data preparation, reporting, and visualization ... Government, a post-employment ethics letter may be required if employment is offered Desired ...

VSolvit

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

The Data Analyst I will support data collection, data preparation, reporting, and visualization ... Government, a post-employment ethics letter may be required if employment is offered Desired ...

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 ...

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Entry Level Data Analyst Government information

See California salary details

$13

$32

$60

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

As of Aug 11, 2026, the average hourly pay for entry level data analyst government 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 the key skills and qualifications needed to thrive as an entry level data analyst in government?

To thrive as an Entry Level Data Analyst in government, you need a solid grounding in statistics, data analysis, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and programming languages such as SQL or Python is typically expected. Attention to detail, critical thinking, and strong written and verbal communication skills help you interpret data and present findings to non-technical stakeholders. These abilities are vital for ensuring accurate, actionable insights that inform public policy and improve government operations.

What are some common challenges faced by entry level data analysts working in a government setting?

Entry-level data analysts in government often encounter challenges such as navigating complex bureaucratic processes, working with legacy data systems, and ensuring data privacy and compliance with public sector regulations. Additionally, they may need to communicate technical findings to non-technical stakeholders and adapt to evolving policy priorities. However, these challenges provide valuable experience in problem-solving, cross-functional collaboration, and understanding the impact of data-driven decisions on public services.

What does an entry level data analyst do in government?

An Entry Level Data Analyst in government is responsible for collecting, organizing, and analyzing data to support decision-making and improve public services. They often work with large datasets, use statistical tools, and create reports or visualizations to communicate findings to colleagues and stakeholders. Typical tasks may include cleaning data, identifying trends, and helping departments use data to increase efficiency or transparency. This role is a great starting point for those interested in public sector analytics and policy development.
What are the most commonly searched types of Data Analyst Government jobs in California? The most popular types of Data Analyst Government jobs in California are:
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What cities in California are hiring for Entry Level Data Analyst Government jobs? Cities in California with the most Entry Level Data Analyst Government job openings:
Entry Level Data Analyst Government jobs near you
Infographic showing various Entry Level Data Analyst Government job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $67,590 per year, or $32.5 per hour.

Entry-Level Data Analyst (Fully Remote + Bonus)

CMH Forklift

Los Angeles, CA • Remote

$28.45 - $38.90/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

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

Job description

💼 Full-Time | Remote | Career Growth | Competitive Pay

Paid Training • Performance Bonuses • Professional Development • Benefits

Build Your Career in Data Analytics

Are you analytical, curious, and comfortable working with numbers and information? We're looking for a motivated Entry-Level Data Analyst to join our team and help turn everyday business data into useful insights.

This is an excellent opportunity for someone starting a career in data analytics, business operations, finance, customer insights, or reporting. Paid training is provided, so candidates who demonstrate strong analytical thinking, attention to detail, and a willingness to learn are encouraged to apply.

You'll work with spreadsheets, databases, reports, and business information while collaborating with different teams to help identify trends, improve processes, and support better business decisions.

Benefits Perks

  • Paid training and onboarding

  • Competitive compensation

  • Performance-based bonus opportunities

  • Paid Time Off (PTO)

  • Paid company holidays

  • Health, dental, and vision benefits for eligible employees

  • 401(k) retirement plan where applicable

  • Professional development opportunities

  • Employee recognition programs

  • Career advancement opportunities

What You'll Do

  • Collect, organize, and maintain business data from multiple sources.

  • Enter, verify, and clean data to ensure accuracy and consistency.

  • Analyze datasets to identify trends, patterns, and potential issues.

  • Prepare recurring reports, summaries, and dashboards.

  • Use Microsoft Excel and other business tools to organize and analyze information.

  • Track key performance indicators (KPIs) and operational metrics.

  • Assist with data quality checks and resolve discrepancies.

  • Support forecasting, reporting, and business-performance projects.

  • Work with internal teams to understand reporting requirements.

  • Present findings and observations in clear, easy-to-understand formats.

  • Maintain confidentiality when handling company and customer information.

  • Assist with other analytical and administrative projects as assigned.

Required

  • High school diploma or equivalent.

  • Strong attention to detail.

  • Comfortable working with numbers and information.

  • Good written and verbal communication skills.

  • Basic Microsoft Excel or spreadsheet knowledge.

  • Strong organizational and time-management skills.

  • Ability to learn new software and systems quickly.

  • Reliable, professional, and able to meet deadlines.

Preferred — Not Required

  • Associate's or Bachelor's degree in Data Analytics, Business, Finance, Statistics, Computer Science, Economics, or a related field.

  • Experience with Excel formulas, PivotTables, or data visualization.

  • Familiarity with SQL, Power BI, Tableau, or similar analytics tools.

  • Previous internship, administrative, customer service, finance, or data-entry experience.

Don't have every preferred qualification? Apply anyway. Training is provided.

Paid Training Development

Your training may include:

  • Data entry and data-quality procedures

  • Microsoft Excel and spreadsheet analysis

  • Reporting and dashboard fundamentals

  • CRM and ERP systems

  • Business intelligence fundamentals

  • KPI and performance reporting

  • Data privacy and confidentiality

  • Internal reporting procedures

  • Professional communication