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Entry Level Data Analyst R Programming Jobs in Los Angeles, CA

Data Analyst

Los Angeles, CA · On-site

$32/hr

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are ... Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data visualization ...

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Safety and security is at the heart of our advanced engineering that allows us to design, build and ... Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Experience in an engineering or consulting environment is a plus. * Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools ...

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Data Analysts support the development and optimization of strategic initiatives by generating ... using R, Python, and other programming languages * Develop technical as well as process-based ...

Data Analyst _ Supply Chain

Los Angeles, CA · On-site

$90K - $180K/yr

Develop and maintain datasets that support analysis of supply chain performance, inventory health ... Familiar with data and statistical programming languages (such as SQL, SAS, R, and Python). Basic ...

... 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 ...

Consumer Data Analyst

El Segundo, CA · On-site

$85 - $120/hr

... 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 ...

... 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 ...

... 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 ...

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 ...

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 ...

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 ...

Data Analyst II

El Segundo, CA · On-site

$100 - $115/hr

## Data Analyst IIApplyremote type: On-sitelocations: El Segundo, CAtime type: Full timeposted on ... Partner with data engineering teams to suggest improvements for our data architecture* Innovate to ...

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Entry Level Data Analyst R Programming information

See Los Angeles, CA salary details

$14

$35

$66

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 Los Angeles, CA is $35.48, according to ZipRecruiter salary data. Most workers in this role earn between $22.79 and $39.62 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.

What are the most commonly searched types of Data Analyst R Programming jobs in Los Angeles, CA?

The most popular types of Data Analyst R Programming jobs in Los Angeles, CA are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Los Angeles, CA?

For Entry Level Data Analyst R Programming jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Los Angeles, CA look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Los Angeles, CA with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in Los Angeles, CA as of August 2026, with employment types broken down into 69% Full Time, 25% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $73,796 per year, or $35.5 per hour.

Data Analyst

Excelhire

Los Angeles, CA • On-site

$32/hr

Full-time

Re-posted 28 days ago


Job description

Data Analyst – Join Our Team
Data Analyst
Los Angeles, CA | Full-Time | CTC, W2
Job Summary

We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help drive business decisions. The ideal candidate will work closely with different teams to provide insights and reports that improve company performance.

Key Responsibilities
  • Collect and analyze data from multiple sources
  • Create reports, dashboards, and visualizations
  • Identify trends and patterns in data
  • Support business teams with data-driven insights
Qualifications
  • Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
  • 1–3 years of experience in data analysis (preferred)
  • Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI)
  • Basic knowledge of Python or R (preferred)
Skills
  • Primary skills: Excel, SQL, data visualization tools
  • Secondary skills: Python, R, experience with large datasets, business intelligence tools
  • Core skills: analytical skills, problem-solving skills, communication skills
Ready to Apply?

Take the next step in your career with this exciting opportunity!

Contact: sravani@excelhire.us | 9887653456