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Afternoon Data Analyst R Programming Jobs in Long Beach, 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 ...

... 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 ...

... 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 ...

Analyze data to determine requirements for a migration and updating of user data from one set of ... Work with engineers to analyze results of development efforts to determine if it meets requirements ...

Sr. Data Analyst

Los Angeles, CA · On-site +1

$92K - $116K/yr

... Engineering, Strategy, Product Analytics, and global teams to frame business questions, define ... Advance SQL skills required, experience with Python, R, or similar scripting languages for data ...

Our GTM and Operations teams rely on rigorous, timely analysis to move fast and make confident ... Strong SQL skills: you can independently query, validate, and explore data without engineer support.

Sr. Data Analyst

Los Angeles, CA

$92K - $116K/yr

... Engineering, Strategy, Product Analytics, and global teams to frame business questions, define ... Advance SQL skills required, experience with Python, R, or similar scripting languages for data ...

New

They are seeking a Data Analyst to evaluate customer behavior and provide insights that guide ... in statistics, programming, and marketing • Bachelor's degree required • Excellent ...

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.

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 ...

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.

Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with Microsoft SharePoint and the broader Microsoft ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Long Beach, CA salary details

$35.8K

$86.9K

$143K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 7, 2026, the average yearly pay for afternoon data analyst r programming in Long Beach, CA is $86,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Long Beach, CA? The most popular types of Data Analyst R Programming jobs in Long Beach, CA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Long Beach, CA? For Afternoon Data Analyst R Programming jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Long Beach, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Long Beach, CA with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,894 per year, or $41.8 per hour.

Full-time

Re-posted 3 days ago


Job description

Company Description

About Client:

 They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description

Job Description:

    As a healthcare consultant, you will be working independently on individual projects followed by handling an excellent relationship with the client. On the whole your going to be a passionate player in using statistical tools and positive attitude.

   We are looking for a person who is too awesome, who loves the role and works with a lot of passion. We are awaiting to meet the excellent analytic specialist exactly like you. 

We would love to listen to your career success and will anticipate for your interest towards this job and I believe:

  • You are powerful in data science, business reporting, and statistical analysis.
  • You are proficient in Business Intelligence and Reporting.
  • You are an expertise with R, SAS, SPSS.
  • You have worked in Healthcare.
  • You are amazing in using Predictive Modeling and advanced statistical techniques.
  • You are excellent in Data Visualization.
  • You are good in using Cognos and Business Objects.

You will be reporting to the Senior Consultant.

About our client:

   They are an equal opportunity employer and with value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Additional Information

All your information will be kept confidential according to EEO guidelines.