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Afternoon Data Analyst R Programming Jobs in Lake Elsinore, CA

CACI

Data Analyst with Security Clearance

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 ...

PDS Health

Sr Analyst, People Analytics and Data

Irvine, CA · On-site

$92K - $116K/yr

Knowledge or exposure to Python or R for advanced data analysis, predictive modelling, and inferential statistics. Knowledge/Skills/Abilities * Advanced skills in Microsoft Office, including Excel (V ...

Pwc

Data Strategy-Manager

Irvine, CA · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

VDart Inc

Azure HDInsight

Orange, CA · On-site

$58.75 - $73/hr

... Analytics), Business Intelligence & Infrastructure services. Three-time consecutive winner of Best ... experience in R programming and Azure ML (Must have) Programming languages - Java/Python with ...

VDart Inc

Azure HDInsight

Orange, CA · On-site

$58.75 - $73/hr

... Analytics), Business Intelligence & Infrastructure services. Three-time consecutive winner of Best ... experience in R programming and Azure ML (Must have) Programming languages - Java/Python with ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Lake Elsinore, CA

Afternoon Data Analyst R Programming information

See Lake Elsinore, CA salary details

$33K

$80.3K

$132.1K

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

As of Sep 3, 2026, the average yearly pay for afternoon data analyst r programming in Lake Elsinore, CA is $80,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Lake Elsinore, CA?

For Afternoon Data Analyst R Programming jobs in Lake Elsinore, CA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Lake Elsinore, CA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Lake Elsinore, CA are:

What cities near Lake Elsinore, CA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Lake Elsinore, 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 Lake Elsinore, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,297 per year, or $38.6 per hour.

Hourly Data Analyst

New Jersey Institute of Technology

Colton, CA

$25 - $50/hr

Part-time

Re-posted yesterday

Job description

Title: Hourly Data AnalystDepartment:Dist ProfessorReports To:Distinguished ProfessorPosition Summary:

The Hourly Data Analyst (part-time) will play a key role in REACH project at the Center for Natural Resources (CNR). This position will evaluate machine learning approaches and implement techniques for deep learning as applied to various storms over different watersheds.


Essential Functions:
  • Evaluate various machine learning approaches.
  • Implement various techniques for deep learning as applied to various storms over different watersheds.
  • Forecast based on easily measurable quantities the water level and streamflows at various locations.
  • Provide progress reports to Dr. Boufadel.
  • Performs other related duties as assigned or requested by the Center Director

Prerequisite Qualifications:
  • PhD in Computer Science, Data Science or equivalent or related disciplines.
  • Experience working with research centers, government-funded environmental projects (e.g., NJDEP, EPA, NOAA).
  • Experience with application of machine learning in Environmental projects.
  • Experience collaborating with scientists, engineers, and community partners on outreach initiatives.

Preferred Qualifications:
  • Ability to work independently from the Center Director, and to communicate effectively using emails.
  • Effective communication and writing skills.

Compensation: $25-$50/hour

At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university an equivalent combination of education and experience specifically preparing the candidate for success in the position.

Range:Hourly Employees

NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, or other items.

FLSA:Non-ExemptTime Type:Part timePay Rate:HourlyAdditional Information:

As an EEO employer NJIT is committed to building a diverse and inclusive teaching, research, and working environment and strongly encourages applications from individuals with disabilities, minorities, veterans, and women.


Employment at NJIT is subject to the provisions of New Jersey First Act which mandates new employees, who are not NJ residents, to establish primary residence in New Jersey within one year of their appointment to certain positions. The law does not apply to any individual employed at NJIT on a temporary or per semester basis as a visiting or adjunct professor, teacher, lecturer, researcher or administrator. For more information on the act please click here.


If special accommodations are needed in applying for a position, please visit the Department of Human Resources located in Fenster Hall, 5th Floor, University Heights, Newark, NJ 07102 or call (973) 596-3140. If you have questions, please email the Human Resources Department at hr@njit.edu.


Information regarding NJIT campus security, personal safety, and fire safety including topics such as, disciplinary procedures, crime prevention, NJIT Police law enforcement authority, crime reporting policies, and crime statistics for the most recent three year period is available on the NJIT Department of Public Safety here.


NJIT is an E-Verify employer and uses E-Verify to confirm work authorization of each new hire.

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