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Afternoon Data Analyst R Programming Jobs in Rancho Palos Verdes, CA

Ampcus Inc

Data Analyst.

Culver City, CA · On-site

They are seeking a Data Analyst to evaluate customer behavior and provide insights that guide ... in statistics, programming, and marketing • Bachelor's degree required • Excellent ...

Naughty Dog

Research Data Analyst

Santa Monica, CA

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 ...

IT CURA Inc.

Data Analyst

Pasadena, CA

Conduct data analysis, data integration, and data management * Identify and develop new data ... Bachelor's Degree in finance, accounting, engineering, math or computer-science related program ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Conduct data analysis, data integration, and data management * Identify and develop new data ... Bachelor's Degree in finance, accounting, engineering, math or computer-science related program ...

Scale Inc

Data Analyst

Burbank, CA · Remote

You will not just analyze data; you will own the truth behind our Customer Retention and Lifecycle ... While we have a Data Engineer managing the infrastructure, you will handle the "last mile" of data ...

Posted today

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 ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Rancho Palos Verdes, CA

Afternoon Data Analyst R Programming information

See Rancho Palos Verdes, CA salary details

$36.5K

$88.7K

$145.9K

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 Rancho Palos Verdes, CA is $88,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 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 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 Rancho Palos Verdes, CA look for?

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

What cities near Rancho Palos Verdes, CA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Rancho Palos Verdes, 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 Rancho Palos Verdes, CA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $88,651 per year, or $42.6 per hour.

Data Analyst.

Ampcus Inc

Culver City, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking a Data Analyst to evaluate customer behavior and provide insights that guide business strategies. The role involves analyzing data, responding to business inquiries, and participating in strategic planning discussions.
Responsibilities:
• Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
• Statistical testing of A/B and multivariate experiments
• Design, build and maintain metrics and reports on program health
• Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
• Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
• Participate in strategic and tactical planning discussions
Qualifications:
Required:
• 7 years of experience working with large-scale complex datasets
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
• Strong working knowledge of SQL
• Background (academic or professional) in statistics, programming, and marketing
• Bachelor’s degree required
• Excellent communication skills, equally adept at working with engineers as well as business leaders
Preferred:
• SAS experience a plus
• Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable
• Ex- company is bonus? --- BIG BONUS (especially if previously worked as BIE)
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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