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Entry Level Data Analyst R Programming Jobs in California

4Liberty, Inc.

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... Uses query languages, such as SQL, scripting languages, such as R and/or Python to produce reports ...

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... Uses query languages, such as SQL, scripting languages, such as R and/or Python to produce reports ...

ActiveHours

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 ...

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... Uses query languages, such as SQL, scripting languages, such as R and/or Python to produce reports ...

ActiveHours

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 ...

Ra

Data Analyst

Los Angeles, CA

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Mattel

Consumer Data Analyst

El Segundo, CA

... Programming / Tools * Proficient with relationaldatabases (e.g. MySQL, Redshift, BigQuery ... Ability to do the following with either Python or R: * Clean, explore, and transform data * Apply ...

Mattel

Consumer Data Analyst

El Segundo, CA · On-site

... Programming / Tools * Proficient with relational databases (e.g. MySQL, Redshift, BigQuery ... Ability to do the following with either Python or R: * Clean, explore, and transform data * Apply ...

Mattel

Consumer Data Analyst

El Segundo, CA

... Programming / Tools * Proficient with relational databases (e.g. MySQL, Redshift, BigQuery ... Ability to do the following with either Python or R: * Clean, explore, and transform data * Apply ...

Stratolaunch

Data Analyst

Mojave, CA · On-site

Stratolaunch is a technology accelerator that engineers operationally realistic testing at Mach 5+. ... Stratolaunch is seeking a level I or II Data Analyst to support air-launched hypersonic vehicles.

Glow Networks

Data Analyst

Mountain View, CA · On-site

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.

Landpoint

Remote Data Analyst

Fremont, CA · Remote

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 ...

The Rockridge Group

Data Analyst

Concord, CA · On-site

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... Familiarity with database queries and programming languages (e.g., SQL) * Excellent written and ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Conduct data analysis, data integration, and data management * Identify and develop new data ... Bachelor's Degree in finance, accounting, engineering, math or computer-science related program ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in California

Entry Level Data Analyst R Programming information

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 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 are the most commonly searched types of Data Analyst R Programming jobs in California? The most popular types of Data Analyst R Programming jobs in California are:
What are popular job titles related to Entry Level Data Analyst R Programming jobs in California? For Entry Level Data Analyst R Programming jobs in California, the most frequently searched job titles are:
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Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst

4Liberty, Inc.

San Diego, CA • Hybrid

Full-time

Posted 10 days ago

Job description

Location: 

San Diego, California. Candidate must currently reside in the San Diego County region or must be willing to relocate within sixty (60) days of hire.

Hybrid work model: 60% on-site, 40% remote.

General Summary:  

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that provide business insight and aid decision-making. The incumbent in this role will combine reporting with subject-matter expertise to deliver coherent, insightful takeaways and advice.

This position requires a detail-oriented individual to support projects with varying degrees of complexity across multiple business units and internal teams.

Supervision Level: 

  • Reports to Manager, Finance.

Responsibilities: 

  • Develop and manage business intelligence solutions.
  • Gather, analyze, and present data to guide informed business decisions.
  • Create and maintain user manuals, including design, requirements, etc.
  • Collaborate with project stakeholders to better understand valuable objectives and KPIs, and design relevant reports and dashboards.
  • Identify development needs to streamline and improve organizational efficiencies.
  • Identify process improvements and capabilities to increase consistency and reliability of business functions and see them through to completion.
  • Develop and maintain documentation of key business processes and foster disciplined approach for adherence to those processes.
  • Build dashboards and reports across multiple lines of business using PowerBi dashboards.
  • Analyze historical and current data to identify trends; create dashboards which provide actionable insights, and provide recommendations based on findings.
  • Collaborate with team members to ensure data is relevant and accurate.
  • Leverage internal business tools (Microsoft Excel, SAP, Ariba, PowerBI, Tableau, and IBM Cognos TM1 functionalities) for reporting and managing the status of project artifacts.
  • Uses query languages, such as SQL, scripting languages, such as R and/or Python to produce reports and perform quantitative or qualitative analyses addressing meaningful business concerns and inquiries.
  • Coordinate and manage special projects; ensure project deadlines and deliverables are met.
  • Perform self and department level reviews of reports, ensuring accuracy and completeness.
  • Conduct weekly, bi-weekly, monthly, quarterly, and ad-hoc reporting as assigned.
  • Performs other duties as assigned.

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