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Data Analyst R Jobs in Glendale, CA (NOW HIRING)

Excelhire

Data Analyst

Los Angeles, CA

$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 ...

Apex Informatics

Data Analyst

Pasadena, CA · On-site

Data Analyst Job ID: KAISJP00230764 Location: Pasadena, Ca 91101 Minimum three (3) years' of related work experience Experience using R, Python, SAS, and/or STATA Five (5) years' of work experience ...

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 ...

SolluCIO Partners

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... Utilize SQL, Python, R, or other tools to extract and manipulate large datasets. Explore ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

CHAOS Industries

People Data Analyst

El Segundo, CA · On-site

$150K - $200K/yr

In this role, you will leverage data to inform critical decisions about our workforce, improve ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

CHAOS Industries

People Data Analyst

El Segundo, CA

$150K - $200K/yr

In this role, you will leverage data to inform critical decisions about our workforce, improve ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

Plat.AI

Front-Facing Data Analyst

Glendale, CA · On-site

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as the ... Experience with R or Python * Experience with BI tools (Tableau, Looker, etc.) * Excellent ...

Recruit Monitor

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 ...

ALO

Senior Data Analyst

Beverly Hills, CA

$140K - $160K/yr

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

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All JobsData Analyst R JobsData Analyst R Jobs in Glendale, CA

Data Analyst R information

See Glendale, CA salary details

$36K

$87.5K

$144K

How much do data analyst r jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analyst r in Glendale, CA is $87,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $102,700.00 per year, depending on experience, location, and employer.

What is the highest paying data analyst job?

Senior data analyst roles, especially those involving advanced skills in machine learning, big data tools, and business intelligence platforms, tend to offer the highest salaries for data analysts. Positions in finance, technology, and consulting industries often provide higher compensation, with some senior or specialized roles earning over $100,000 annually depending on experience and location.

What is a Data Analyst R job?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

Can you use R for data analysis?

Data Analysts often use R for data analysis because it offers extensive statistical and graphical capabilities, along with a wide range of packages for data manipulation and visualization. Proficiency in R can enhance a data analyst's ability to interpret complex datasets and generate insights efficiently.

What are the key skills and qualifications needed to thrive in the Data Analyst R position, and why are they important?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

Is R important for data analysts?

R is an important tool for data analysts as it provides extensive statistical and data visualization capabilities. Proficiency in R can enhance data analysis, modeling, and reporting skills, making it a valuable skill in many data-focused roles.

Do data analysts still use R?

Data analysts still use R as it remains a popular programming language for statistical analysis, data visualization, and data manipulation. Many organizations value R for its extensive package ecosystem and open-source nature, often alongside tools like Python and SQL. Proficiency in R can enhance a data analyst's ability to perform complex analyses and communicate insights effectively.

What does a typical day look like for a Data Analyst R, and how do they work with other teams?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

What are popular job titles related to Data Analyst R jobs in Glendale, CA? For Data Analyst R jobs in Glendale, CA, the most frequently searched job titles are:
What job categories do people searching Data Analyst R jobs in Glendale, CA look for? The top searched job categories for Data Analyst R jobs in Glendale, CA are:
What cities near Glendale, CA are hiring for Data Analyst R jobs? Cities near Glendale, CA with the most Data Analyst R job openings:
Data Analyst R jobs near you
Infographic showing various Data Analyst R job openings in Glendale, CA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,526 per year, or $42.1 per hour.

Data Analyst

Excelhire

Los Angeles, CA

$32/hr

Full-time

Posted yesterday

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