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Afternoon Data Analyst R Programming Jobs in Irvine, CA

PM2CM

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing ... Knowledge of scripting languages (Python, R, or similar) for advanced data processing and ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

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 ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure. * Work closely with cross-functional teams to understand their data needs and provide analytical ...

Collabera

Data Analyst

Santa Ana, CA · On-site

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 ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... This role sits within the Service organization and works closely with field operations, engineering ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... This role sits within the Service organization and works closely with field operations, engineering ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We ... This role sits within the Service organization and works closely with field operations, engineering ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

Required : • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

Required : • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Irvine, CA

Afternoon Data Analyst R Programming information

See Irvine, CA salary details

$36.5K

$88.7K

$146K

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

As of Jun 16, 2026, the average yearly pay for afternoon data analyst r programming in Irvine, CA is $88,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $104,100.00 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, and why are they important?

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 Irvine, CA? The most popular types of Data Analyst R Programming jobs in Irvine, CA are:
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Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

AMERICAN INDUSTRIAL SYSTEMS, INC.

Irvine, CA

$96K - $100K/yr

Other

Posted 11 days ago

Job description

AMERICAN INDUSTRIAL SYSTEMS, INC. seeks one full-time Data Analyst to work at its office in Irvine, CA. Candidate must have at least a Master’s degree in Statistics, Data Science, or Industrial Engineering, along with 3 months of prior Business Analyst or Data Scientist experience.

Domestic travel required to Georgia and Tennessee, 1–2 times per year, to visit the office and warehouse for a global project, with each trip lasting 5–7 days. International travel required to Taiwan, 1–2 times per year, to attend board meetings, with each trip lasting 6–10 days. Candidate duties will include: Automate reports by integrating data from internal and third-party systems using statistical programming and analytical tools.

Conduct quantitative analysis of cost and operational data, including regression and variance analysis, to identify trends and areas for improvement. Develop dashboards and data visualizations using business intelligence tools to support decision-making and communicate statistical findings. Apply statistical and machine learning models to support forecasting, hypothesis testing, and behavioral analysis.

Clean, transform, and standardize datasets for accurate and consistent statistical analysis. Design and evaluate experiments for operational and business problem-solving across departments, ensuring proper sampling methods. Optimize scheduling and performance metrics through predictive modeling techniques, providing quantitative insights for process improvement.

Candidate must have at least 3 months of work experience using Python, R, SQL, Power BI, Tableau, and SAP, as well as at least 3 months of work experience in applying statistical models to forecast customer behavior and business performance trends, and in designing and implementing statistical reporting processes to support strategic decision-making. Salary: $96,595–$100,000 /yr. Contact: alex.lin@aispro.com

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