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Entry Level R Programming Jobs in California (NOW HIRING)

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Entry Level R Programming information

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How much do entry level r programming jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for entry level r programming in California is $26.38, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level R Programming position, and why are they important?

To thrive as an Entry Level R Programming professional, you should have a solid understanding of R programming fundamentals, data manipulation, and basic statistical analysis, often supported by a relevant degree in statistics, computer science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and data visualization packages (e.g., ggplot2) is commonly required; certifications in data analysis or R can be advantageous. Attention to detail, problem-solving abilities, and effective communication skills help you work efficiently within a collaborative team environment. These competencies are crucial to accurately analyze data, provide actionable insights, and contribute effectively to projects from the outset.

What is an Entry Level R Programming job?

An Entry Level R Programming job is a position designed for beginners who use R for data analysis, statistical computing, and visualization. These roles are typically found in industries like finance, healthcare, and tech, where data-driven decision-making is crucial. Responsibilities may include cleaning datasets, writing basic R scripts, and generating reports or visualizations. Employers usually seek candidates with a degree in statistics, data science, or a related field, along with foundational knowledge of R and data manipulation libraries like dplyr and ggplot2.

What types of projects do entry-level R Programmers typically work on?

Entry-level R Programmers are often involved in supporting data analysis projects such as cleaning datasets, creating visualizations, building simple statistical models, and preparing reports for stakeholders. They commonly assist senior analysts or data scientists by conducting exploratory data analysis, automating repetitive data tasks, or updating existing R scripts. While responsibilities can vary by industry, close collaboration with team members and learning from more experienced colleagues are standard aspects of the role. This hands-on exposure provides an excellent foundation for developing deeper technical skills and advancing to more complex projects over time.

What are the most commonly searched types of R Programming jobs in California? The most popular types of R Programming jobs in California are:
What are popular job titles related to Entry Level R Programming jobs in California? For Entry Level R Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level R Programming jobs in California look for? The top searched job categories for Entry Level R Programming jobs in California are:
What cities in California are hiring for Entry Level R Programming jobs? Cities in California with the most Entry Level R Programming job openings:
Entry Level R Programming jobs near you
Infographic showing various Entry Level R Programming job openings in California as of July 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $54,866 per year, or $26.4 per hour.
Business Analyst-Entry Level

Business Analyst-Entry Level

Apex Informatics

San Francisco, CA • On-site

Other

Posted 8 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.

Apply