2

Entry Level Data Analyst R Programming Jobs in San Jose, CA

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Experience with Python or R. * Familiarity with data warehouses and analytics engineering. * Knowledge of experimentation, product analytics or forecasting. * Experience in tech or consumer platforms.

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

... programming languages such as Python or R, with the ability to manipulate and analyze data efficiently. • Adept at working with large datasets, utilizing statistical techniques to extract ...

Experience with Python or R. * Familiarity with data warehouses and analytics engineering. * Knowledge of experimentation, product analytics or forecasting. * Experience in tech or consumer platforms.

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

About Us: At Emendata, we help bridge the gap between data and the real world. We partner with ... Programming: Basic to intermediate experience with Python, SQL, or R * Analysis: Exceptional ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus Ability to clearly communicate findings and work ...

At Verdantas, we're redefining environmental consulting and sustainable engineering through our use ... Python, R, or similar tools is a plus • Ability to clearly communicate findings and work ...

Senior Data Analyst

Palo Alto, CA

$101K - $127K/yr

Recommend analytical tools to implement in partnership with developers and the Head of Growth ... Deep expertise in SQL. Experience in Python and R a plus * Bachelor's degree in mathematics ...

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Recommend analytical tools to implement in partnership with developers and the Head of Growth ... Deep expertise in SQL. Experience in Python and R a plus * Bachelor's degree in mathematics ...

Bachelor's degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields; Master's preferred. * 6-9 years of work experience involving quantitative data analysis.

Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources. Data visualization tools: Mastery of ...

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... The role Harper's GTM Engineer builds the data infrastructure. You're the one who tells us what it ...

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... The role Harper's GTM Engineer builds the data infrastructure. You're the one who tells us what it ...

next page

Showing results 1-20

Entry Level Data Analyst R Programming information

See San Jose, CA salary details

$15

$38

$72

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

As of Jul 30, 2026, the average hourly pay for entry level data analyst r programming in San Jose, CA is $38.59, according to ZipRecruiter salary data. Most workers in this role earn between $24.81 and $43.12 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
What are popular job titles related to Entry Level Data Analyst R Programming jobs in San Jose, CA? For Entry Level Data Analyst R Programming jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in San Jose, CA look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Entry Level Data Analyst R Programming jobs? Cities near San Jose, CA with the most Entry Level Data Analyst R Programming job openings:
Infographic showing various Entry Level Data Analyst R Programming job openings in San Jose, CA as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $80,266 per year, or $38.6 per hour.

SAS Clinical And R Programmer

IT ENGAGEMENTS, INC.

San Francisco, CA • On-site

Other

Posted 3 days ago

New


Job description

Greetings from IT Engagements
IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients.
Job Summary
Job Title: SAS Clinical and R programmer (W2 Contract role)
Location: Remote
Duration: Long Term
We are seeking a SAS Clinical and R programmer . Please apply for an immediate interview.
Requirements:
  • Under moderate guidance, designs, develops, evaluates and modifies SAS and R macros to analyze and evaluate clinical data.
  • Create new R Dashboards using R Shiny.
  • Plans, writes and executes statistical programs in SAS and R designed to analyze data from database.
  • Produces tables, listings and figures. Assesses data accuracy and consistency.
  • Applies extensive knowledge and skills, may act as lead programmer on project team(s).
  • Worked hands-on different R packages
  • Develop SAS macros and then compare with R programming
  • Part of migration activities from SAS in to R
  • Compare SAS and R functions like Transpose, Sort, Groupby, Arrange, Sequence,Slice etc.
  • Worked on different kinds of file types like .CSV, excel, delimited etc
  • Used Variety of Parameters for creating dashboards in R
  • Validate packages in R
  • Publishing R dashboards
  • Validates and documents SAS macro library.
  • May supervise one or two lower level programmers assigned to project and/or may provide performance feedback in review of others..
  • Explores new programming technology. Tests, documents and integrates software tools into programming procedures.
  • Troubleshoots and resolves difficult problems in creative ways, and takes a new perspective on existing solutions, exploring and implementing new concepts and methodologies.
  • Translates technical knowledge into business strategy.
  • Leads internal/external teams and builds professional relationships
Thankyou
Divya