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Entry Level R Programming Jobs in Fremont, CA (NOW HIRING)

Orion Group

Associate Scientist I

San Mateo, CA · On-site

$36 - $40/hr

... seeking entry level scientists to support cell culture processes on an exciting contract ... Basic: * BS in Biological Sciences or Chemical/Biochemical Engineering or related field with 0-3 ...

Nuro

Associate Fleet Technician, Bay Area

Santa Clara, CA

$28.25 - $38/hr

The Associate Fleet Technician is a critical, entry-level technical role that provides the ... Work cross-functionally with Engineering, Software, and Field Operations teams to provide critical ...

fluidrasa

Regional Trainer I

San Francisco, CA

$75K - $90K/yr

Working closely with other Training/Marketing/Product Managers and other departments (Engineering ... Proven ability to make highly complex and technical information accessible to entry-level industry ...

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Entry Level R Programming information

See Fremont, CA salary details

$15

$29

$86

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

As of Aug 31, 2026, the average hourly pay for entry level r programming in Fremont, CA is $29.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $25.24 per hour, depending on experience, location, and employer.

What is an entry level R programming?

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 key skills and qualifications needed to thrive in entry level R programming?

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.

Are entry level R programmers in demand?

Entry level R programmers are in demand in industries such as data analysis, research, and finance, where skills in statistical programming and data visualization are valued. Knowledge of R and related tools like RStudio can improve job prospects, especially for roles involving data manipulation and reporting.

What careers use R programming?

Careers that use R programming include data analyst, data scientist, statistician, bioinformatician, and research scientist. These roles often involve data analysis, statistical modeling, and visualization, typically requiring knowledge of R and related tools like RStudio. R is widely used in industries such as healthcare, finance, academia, and technology for data-driven decision making.

What are popular job titles related to Entry Level R Programming jobs in Fremont, CA?

For Entry Level R Programming jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level R Programming jobs in Fremont, CA look for?

The top searched job categories for Entry Level R Programming jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Entry Level R Programming jobs?

Cities near Fremont, CA 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 Fremont, CA as of August 2026, with employment types broken down into 5% Internship, 76% Full Time, 14% Part Time, and 5% Contract. Highlights an 60% In-person, 9% Hybrid, and 31% Remote job distribution, with an average salary of $60,857 per year, or $29.3 per hour.

Business Analyst-Entry Level

San Francisco, CA • On-site

Apex Informatics
IT Services • 1 - 10 employees
Learn more about Apex Informaticsexternal

Other

Re-posted 16 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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