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Afternoon Data Analyst R Programming Jobs in Los Angeles, CA

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 ...

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 ...

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 ...

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 ...

iSpace, Inc

Data Analyst / CDP Developer

Torrance, CA · On-site

Data Analyst / CDP Developer Location: Torrance, CA Duration: 6 Months JOB RESPONSIBILITIES Data Analysis and Development * Analyze customer data, event, and large-scale datasets to generate insights ...

Hadrian Automation

People Data Analyst

Los Angeles, CA · On-site

We are looking for a highly analytical and mission-driven People Data Analyst to join our People ... You'll partner closely with our People Systems Engineer and Data Engineering team to help define ...

Hadrian Automation, Inc

People Data Analyst

Los Angeles, CA · On-site

$150K - $180K/yr

We are looking for a highly analytical and mission-driven People Data Analyst to join our People ... You'll partner closely with our People Systems Engineer and Data Engineering team to help define ...

The Walt Disney Company

Sr Data Analyst

Santa Monica, CA · On-site

$96K - $121K/yr

Analytics Engineering & Reporting Foundations: Collaborate closely with data engineers and product management to tackle data consistency challenges, ensure the accuracy and quality of data required ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Los Angeles, CA

Afternoon Data Analyst R Programming information

See Los Angeles, CA salary details

$36.6K

$89K

$146.5K

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

As of Sep 2, 2026, the average yearly pay for afternoon data analyst r programming in Los Angeles, CA is $89,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $104,500.00 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 Los Angeles, CA?

The most popular types of Data Analyst R Programming jobs in Los Angeles, CA are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Los Angeles, CA?

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

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

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

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

Cities near Los Angeles, 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 Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $89,046 per year, or $42.8 per hour.

Data Analyst

1 point system

Irvine, CA • On-site

Contractor

Re-posted 16 days ago

Job description

Role Overview

We are seeking a junior to mid-level Data Analyst (2–7 years’ experience) who thrives on solving puzzles and uncovering the “why” behind the data. This role is focused on analytics and quantitative reasoning, not engineering. The ideal candidate enjoys working with numbers, identifying trends, and providing insights that drive business decisions.

Key Responsibilities

  • Perform data analysis to explain trends, anomalies, and root causes.
  • Write and execute queries to pull data from multiple sources (SQL, Python).
  • Apply statistical concepts (mean, variance, distributions) to interpret datasets.
  • Collaborate with cross-functional teams to deliver actionable insights.
  • Document findings and communicate results clearly to stakeholders.
  • Support ad-hoc reporting and data validation tasks.

Required Skills

  • Strong critical thinking and problem-solving mindset.
  • Hands-on experience with Python and/or SQL (ideally both).
  • Solid understanding of statistics and quantitative analysis.
  • Ability to focus on details and explain the “why” behind data outcomes.
  • Excellent communication skills to translate numbers into insights.

Preferred Profile

  • 2–7 years of professional experience (junior to mid-level).
  • Local to Irvine, CA or Southern California (must be able to collaborate onsite when needed).
  • Passion for puzzles, numbers, and uncovering insights.
  • Experience in healthcare or analytics environments is a plus, but not required.