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Afternoon Data Analyst R Programming Jobs in Long Beach, CA

Fabletics

Data Analyst II

El Segundo, CA

Fabletics is looking for a Data Analyst II. How do you fit in? We are looking for someone who is ... Partner with data engineering teams to suggest improvements for our data architecture * Innovate to ...

Naughty Dog

Research Data Analyst

Santa Monica, CA · On-site

$51.83 - $64.76/hr

Partner with Sony Game Analytics, Gameplay, Engineering, and Design to support telemetry design ... Strong analytical and statistical skills, including experience with SQL, Python, R, MongoDB, or ...

Russell Tobin

Data Analyst

Alhambra, CA · On-site

$35 - $40/hr

Informatics Data Analyst Location: Alhambra, CA (Onsite) Duration: 12 months (08/24/2026 - 08/23 ... Bachelor's degree in Information Technology, Engineering, or a related field. Equivalent experience ...

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 ...

Russell Tobin

Data Analyst

Alhambra, CA · On-site

$35 - $40/hr

Informatics Data Analyst Location: Alhambra, CA (Onsite) Duration: 12 months (08/24/2026 - 08/23 ... Bachelor's degree in Information Technology, Engineering, or a related field. Equivalent experience ...

Abbott

Data Analyst _ Supply Chain

Los Angeles, CA · On-site

$81K - $141K/yr

... Engineering is preferred Experience / Background Minimum 1 year Work experience with degree; or ... R or Python, SQL) Prior experience/education in life sciences or healthcare preferred The base pay ...

Abbott

Data Analyst _ Supply Chain

Los Angeles, CA · On-site

$81K - $141K/yr

... Engineering is preferred Experience / Background Minimum 1 year Work experience with degree; or ... R or Python, SQL) Prior experience/education in life sciences or healthcare preferred The base pay ...

Collabera

Data Analyst

Santa Ana, CA

Bachelor's degree in a sciences or engineering discipline or similar field or an equivalent combination of education plus work experience. 1+ years of experience in data analysis, preferably in a ...

JLM Strategic Talent Partners

Data Analyst

Burbank, CA · On-site

$70 - $95/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

JLM Strategic Talent Partners

Data Analyst

Downey, CA · On-site

$70 - $90/hr

Analyze data from various sources, using spreadsheets and smart sheets, to identify trends ... Bachelor's degree in Business Administration, Finance, Engineering, or any other related field.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Long Beach, CA

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 22, 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 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 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 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:

Afternoon Data Analyst R Programming jobs near you
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, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,894 per year, or $41.8 per hour.

Predictive Data Analyst

Vertisystem Inc.

Los Angeles, CA • On-site

Other

Posted 10 days ago

Job description


(Position Description) The Predictive Data Analyst will support stakeholders by defining data needs and ensuring data science and advanced analytics projects meet business objectives across various levels. The Predictive Data Analyst will use statistical programming languages and tools for data manipulation, analysis, and visualization, including end-to-end predictive modeling from exploratory analysis to deployment and results interpretation. The Predictive Data Analyst will manage data through querying, merging, quality control, regular reporting, special project deliverables, and documentation. Additionally, the Predictive Data Analyst will collaborate with IT and data engineering staff to develop data pipelines, designs and maintains reports and dashboards, and will work directly with program staff to ensure analyses lead to actionable insights for decision-making and program improvement. The Predictive Data Analyst will serve as the Subject Matter Expert (SME) on cross-agency justice-involved datasets and managed care plan reporting, owning the associated business logic, query design, and report definitions. Functioning as a technical lead within a collaborative team structure, the Predictive Data Analyst will consult on the technical feasibility of project intakes, takes a lead role on Tableau dashboard development, or similar, and API reporting, and drives rigorous quality assurance. The Predictive Data Analyst will handle technical documentation and actively engages in team Agile/Scrum workflows by participating in daily stand-ups, backlog grooming, and sprint planning to commit to and deliver technical tasks. (Skills Required) The Predictive Data Analyst will possess knowledge and experience in predictive analytics and tool development; ability to work directly with a client-centric relational database; have strong technical knowledge to conduct analysis and build reports from an SQL database; comfortable with various analytical tools; ability to take the lead on projects where the best path forward is unclear; excellent interpersonal, oral and written communication skills; and exceptional customer service.

Miscellaneo Niche/ Other

Four (4) years of experience with responsibility for planning, designing, conducting, and evaluating research projects involving the application of techniques of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs, leading to actionable findings and recommendations.

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