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Entry Level Statistics Jobs in Berkeley, CA (NOW HIRING)

Solano Community College

Account Clerk

Fairfield, CA · On-site

$4.3K/mo

Account Clerk is the entry level in the accounting series of positions and typically assigned to ... Prepare and maintain financial and statistical records using computer equipment; prepare, generate ...

Pwc

Data Engineer - Senior Associate

San Francisco, CA

$77K - $202K/yr

... Statistics - Demonstrating proficiency in data engineering platforms like Databricks - Utilizing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

This is an entry-level research role for individuals with less than 3 years of research experience ... Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of ...

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All JobsStatistics JobsEntry Level Statistics JobsEntry Level Statistics Jobs in Berkeley, CA

Entry Level Statistics information

See Berkeley, CA salary details

$12

$23

$32

How much do entry level statistics jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for entry level statistics in Berkeley, CA is $23.33, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $26.20 per hour, depending on experience, location, and employer.

What are entry level statistics jobs?

Entry level statistics jobs are positions designed for individuals who are just starting their careers in data analysis and statistical fields. These roles typically involve tasks such as collecting, analyzing, and interpreting data, as well as creating reports and visualizations to support decision-making. Common job titles include statistical assistant, data analyst, or research assistant. Entry level positions usually require a bachelor’s degree in statistics, mathematics, or a related field, and proficiency in statistical software like Excel, R, or SPSS.

What are the key skills and qualifications needed to thrive as an Entry Level Statistician, and why are they important?

To thrive as an Entry Level Statistician, you need a solid background in mathematics, statistical analysis, and a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python is typically required, and knowledge of data visualization tools is a plus. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and explain complex data findings to diverse audiences. These competencies are crucial for delivering accurate insights and supporting data-driven decision-making within organizations.

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

AspectEntry Level StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academia, entry-level corporate rolesBusiness, finance, healthcare, technology sectors
Employer UsageAcademic institutions, research organizations, entry-level corporate rolesCompanies analyzing data to inform decisions, reporting, and strategy

Entry Level Statistics and Data Analyst roles often require similar educational backgrounds, focusing on statistical and analytical skills. While Entry Level Statistics may lean more towards theoretical and research-oriented tasks, Data Analysts typically work directly with business data to generate insights. Both roles are common in various industries and serve as foundational positions for careers in data and analytics.

What types of projects or tasks can I expect to work on in an entry-level statistics role?

In an entry-level statistics position, you can expect to work on tasks such as collecting, cleaning, and organizing data sets, performing basic statistical analyses like descriptive statistics or regression, and assisting in the preparation of reports or presentations. You may also support senior statisticians with experimental design, data visualization, and quality control checks. Collaboration with team members from departments like data science, research, or business analytics is common, and you'll often use statistical software such as R, SAS, or Python to carry out your work.
What are the most commonly searched types of Statistics jobs in Berkeley, CA? The most popular types of Statistics jobs in Berkeley, CA are:
What job categories do people searching Entry Level Statistics jobs in Berkeley, CA look for? The top searched job categories for Entry Level Statistics jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Entry Level Statistics jobs? Cities near Berkeley, CA with the most Entry Level Statistics job openings:
Entry Level Statistics jobs near you
Infographic showing various Entry Level Statistics job openings in Berkeley, CA as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $48,524 per year, or $23.3 per hour.
Business Analyst-Entry Level

Business Analyst-Entry Level

Apex Informatics

San Francisco, CA • On-site

Other

Posted 11 days ago

Job description

Responsibilities:
  • Check reporting results and flag potential issues: Review reports for accuracy and identify any anomalies or discrepancies.
  • Create dashboards, spreadsheet analysis, and presentations: Support regional analysts by preparing visual data representations and reports.
  • Troubleshoot data issues: Validate data from various sources to ensure consistency and reliability.
  • Analyze business performance trends: Identify patterns and trends in business data to uncover growth opportunities.

Minimum Qualifications:
  • Education: BA/BS degree in accounting, finance, economics, industrial engineering, statistics, or math.
  • Experience: At least 1 year of work experience in tech, finance, or accounting.
  • Technical Skills:
    • Strong knowledge of SQL: Ability to write and execute SQL queries for data analysis.
    • Fluency in MS Excel: Proficiency in Excel for data manipulation, analysis, and reporting.
    • Experience with statistical programming: Familiarity with R, Python, or similar languages for data analysis and visualization.

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