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Afternoon Data Analyst R Programming Jobs in Riverside, CA

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

Azure HDInsight

Orange, CA

$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 ...

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 ...

Data Engineer

Highland, CA · On-site

$113K - $136K/yr

Bachelor's degree in data science, Data Analytics, Statistics, Data Management, Business, Economics ... Fundamental level of Scripting Python or R Experiences required. * Fundamental level of SAS ...

New

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

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Afternoon Data Analyst R Programming information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

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

As of Jul 9, 2026, the average yearly pay for afternoon data analyst r programming in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Riverside, CA? For Afternoon Data Analyst R Programming jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Riverside, CA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Riverside, CA with the most Afternoon Data Analyst R Programming job openings:
[Mid Level] Data Analyst - Supply Chain Warehouse Reporting & Analytics (17536-1)

[Mid Level] Data Analyst - Supply Chain Warehouse Reporting & Analytics (17536-1)

JND

Santa Ana, CA • On-site

$54 - $58/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

[Position Overview]

Job Title: Data Analyst - Supply Chain Warehouse Reporting & Analytics

Education: Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field

Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments

Job Type: Full-Time, Hourly


[Location]

Santa Ana, CA


[Benefits & Perks]

Medical Insurance (Health, Dental & Vision)

401(k)

Paid Time Off

H1B/Green Card Sponsorship for qualified employee

Hands-on experience at global industry leader Samsung

Opportunities for career advancement


[Summary]

Responsible for all points of data mining, extraction, manipulation, analysis, and reporting

Develops and reports daily, weekly, and monthly analysis of key performance indicators related to warehouse operational metrics

Provides critical analysis of costs associated with logistics, warehouse, and transportation operations

Supports improvement opportunities and monitors discrepancies throughout the organization

Works with cross-functional teams to validate data and collaborate on operational insights


[Duties and Responsibilities]

Data & business analysis

Data mining & extraction from multiple sources to build reports

Daily, weekly, and monthly report generation

Report automation & design

Maintaining existing dashboards; weekly & monthly analysis and reporting

Help drive critical business decisions through in-depth analysis; provide recommendations based on findings

Develop models that help with decision-making

Identify opportunities for performance improvement

Publish standard and complex ad-hoc reports with varying detail for different audiences


[Skills & Qualifications]

Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments

High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) required

Experience with SAP and WMS (Warehouse Management Systems) required

Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field

Excellent analytical, decision-making, and problem-solving skills

Strong data mining skills and experience extracting & manipulating data from multiple sources

Strong verbal and written communication skills; ability to interact with all levels of management

Results driven; ability to handle multiple projects and work independently without supervision

Must be comfortable working in a multi-cultural business environment


[JND Boilerplate]

Our team of business professionals supports a wide range of operations including data analytics, financial analysis, program management, and strategic planning. We also have opportunities in tech/engineering, QA, and many more!


Our vision is 'We Want to See You Grow' to become the industry leader for both employee and company.

For more information about JND, please visit www.jndsolutions.com


[Hashtags]

#Samsung #DataAnalyst #BusinessAnalyst #SupplyChain #Logistics #SQL #Tableau #MidLevel #ReportAutomation #WarehouseOperations

Employment Type: FULL_TIME