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Afternoon Data Analyst R Programming Jobs in Menifee, CA

Esri

Product Test Engineer II - Geodatabase

Redlands, CA · On-site

$79K - $133K/yr

Overview Are you a geographer, GIS/data analyst, engineer or computer scientist who has a passion for building high-quality commercial software? We are looking for individuals with a dedication to ...

Esri

Product Test Engineer II - Geodatabase

Redlands, CA · On-site

$79K - $133K/yr

Overview Are you a geographer, GIS/data analyst, engineer or computer scientist who has a passion for building high-quality commercial software? We are looking for individuals with a dedication to ...

Swift Engineering

UAV Test Engineer

San Clemente, CA · On-site

$120K - $140K/yr

Analyze test data and convert results into clear, meaningful inputs for design decisions * Identify ... Bachelor's degree in Engineering (Aerospace, Mechanical, Electrical, or related field) * 5+ years ...

KBS

Cyber Security Analyst

Oceanside, CA · On-site

... Engineering and DevOps, guiding best practices and control implementation and explaining the ... data services, covering areas such as IAM roles and permission scoping, VPC and edge controls ...

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

Afternoon Data Analyst R Programming information

See Menifee, CA salary details

$36K

$87.4K

$143.9K

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

As of Aug 18, 2026, the average yearly pay for afternoon data analyst r programming in Menifee, CA is $87,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Menifee, CA look for?

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

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

Cities near Menifee, 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 Menifee, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,439 per year, or $42 per hour.

Technical Consultant - Enterprise Data Engineer (Geospatial Data & Platforms)

Esri

Redlands, CA

Full-time

Re-posted 25 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Overview

Help power mission-critical systems through enterprise data. As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelligence operations.

You will work directly with customers to architect data solutions that integrate, manage, and optimize complex datasets across secure environments. From database design and performance tuning to high availability and data security, your work will ensure that critical geospatial information is delivered reliably to the people who depend on it most.

This role combines enterprise data engineering, geospatial technology, and mission impact, giving you the opportunity to solve complex data challenges in environments where performance, scale, and reliability are essential. 

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

  • Design and implement robust, scalable, and secure database solutions to support mission-critical applications
  • Collaborate with cross-functional teams during all phases of implementation including requirements, analysis, design, build/configuration, and deployment
  • Configure and maintain database environments, including backup, restore, high-availability, and disaster recovery strategies
  • Monitor and tune database performance using industry-standard tools and methodologies (such as query optimization, indexing strategies)
  • Implement data security measures, access controls, and compliance standards across environments
  • Automate routine database loading, maintenance, and monitoring tasks to improve efficiency
  • Provide technical guidance and best practices for database design, migration, and integration projects

Requirements

  • 5+ years of hands-on experience in database design, administration, and optimization for Oracle, SQL Server, PostgreSQL, or SAP HANA
  • Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security
  • Scripting skills in SQL and Python for automation and data workflows
  • Exposure to geospatial concepts such as spatial data types, coordinate systems, and spatial indexing
  • Ability to clearly communicate complex technical concepts to technical peers and non-technical project managers or customers
  • US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
  • Bachelor's degree in computer science, mathematics, GIS, or related STEM field

Recommended Qualifications

  • Experience with ArcGIS Enterprise geodatabases
  • Knowledge of integrating GIS with other enterprise systems
  • CompTIA Security + certification
  • One or more industry-standard IT certifications (such as Esri, Microsoft, Amazon, PostgreSQL, Oracle)
  • Master`s degree in computer science, mathematics, GIS, or related STEM field

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Benefits

Hours and flexibility

Workplace

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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