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

Stanford University

Research Data Analyst 2

Stanford, CA · On-site

$108K - $128K/yr

... for data management and analysis work focused on population health. The Stanford Center for ... analyzing large databases, including programming using statistical packages, as well as ...

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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 Aug 22, 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 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 skills and qualifications are needed to thrive as an entry level data analyst r programming?

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 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.

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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:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,266 per year, or $38.6 per hour.

Data Analyst at Sunnyvale, CA - W2 Contract

Rootshell Enterprise Technologies, Inc.

Sunnyvale, CA • On-site

Other

Re-posted 27 days ago

Job description

Job Title: Data Analyst
Location: Sunnyvale, CA
Duration: 2 Years Contract
W2 Contract
Job Description:
We are seeking a skilled Data Analyst with a strong background in data transformation, analysis, and reporting. The ideal candidate will have hands-on experience working as a Data Analyst on at least two projects and must possess solid expertise in Python, PySpark, and Advanced SQL.
Key Responsibilities:
  • Analyze large and complex datasets to generate actionable insights
  • Develop data pipelines using PySpark and SQL for data processing and reporting
  • Write efficient and optimized SQL queries for data extraction and transformation
  • Build and maintain dashboards, reports, and data visualizations
  • Collaborate with cross-functional teams including data engineers, business analysts, and product owners
  • Ensure data quality and integrity throughout the analytics lifecycle

Required Skills & Qualifications:
  • 4 to 8 years of relevant experience as a Data Analyst
  • Proven experience on at least 2 projects in a Data Analyst role
  • Proficiency in Python for data manipulation and analysis
  • Strong expertise in PySpark for distributed data processing
  • Advanced SQL skills, including complex joins, window functions, and performance optimization
  • Strong analytical and problem-solving skills
  • Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field

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