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

AMH

Enterprise Data Analyst

Calabasas, CA

$91K - $114K/yr

Works cross-functionally with internal teams (e.g., finance and engineering) to support data ... Develops analytical content to include reports, dashboards, semantic models, and datasets by ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.

thatgamecompany

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

... developer experience * Serve as a bridge between technical and non-technical teams and provide ... Extensive experience writing optimized SQL to build and analyze datasets and associated data ...

Astiva Health

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET. Salary ...

AEG Worldwide

LA Kings - Sr. Data Analyst

El Segundo, CA · On-site

$91K - $115K/yr

Partner closely with the Data Engineering team to structure, validate, and optimize data pipelines and data models for analysis and resolve any data discrepancy. * Build and maintain SQL-based views ...

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Entry Level Data Analyst R Programming information

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

As of Jun 8, 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 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 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:
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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 Los Angeles, CA as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $73,796 per year, or $35.5 per hour.
Data Analyst - IT

Data Analyst - IT

Regal Technology Partners Inc

Santa Ana, CA

Other

Posted 16 days ago

Job description

Description

Position Title: Data Analyst (Information Technology)

Department: Engineering

Location: Santa Ana, CA 

FLSA Status: Exempt, Full-Time 


Job Summary: 

The Data Analyst is responsible for collecting, analyzing, and interpreting data to support IT operations and business decision-making. This role works closely with IT and cross-functional teams to identify trends, improve system performance, and provide actionable insights.


Key Responsibilities: 

Collect, clean, and analyze data from IT systems and business applications 

Develop and maintain reports, dashboards, and data visualizations 

Monitor system performance metrics and identify areas for improvement 

Support IT projects by providing data insights and analysis 

Collaborate with internal teams to understand data needs and requirements 

Ensure data accuracy, integrity, and security standards are maintained 

Document processes, data definitions, and reporting methods


Qualifications: 

Bachelor's degree in Information Technology, Data Analytics, Computer Science, or related field 

2+ years of experience in data analysis, preferably within an IT environment 

Strong proficiency in Excel, SQL, and reporting tools (e.g., Power BI, Tableau) 

Understanding of databases and data structures 


Physical Requirements: 

Prolonged periods of sitting at a desk and working on a computer 

Frequent use of hands and fingers to operate a computer, keyboard, and other office equipment 

Ability to view computer screens for extended periods 

Occasionally required to stand, walk, reach, or lift up to 10-15 pounds (e.g., office equipment or files) 

Ability to communicate effectively, including speaking and hearing


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This job description is intended to provide a clear overview of the primary duties and responsibilities for the Data Analyst - IT position. It is not an exhaustive list, and other tasks may be required as needed to support the company's operations.


Regal Technology Partners is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local laws. We strive to create an inclusive and diverse work environment where everyone is valued and respected.


If you require any accommodation during the application process or have any questions regarding our EEO policies, please contact Human Resources, hr@regaltechnology.com

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