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Afternoon Data Analyst R Programming Jobs in Riverside, CA

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Data Analytics Analyst

Irvine, CA · On-site

$69K - $103K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ... Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract ...

... 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 ...

Senior R&T Engineer - Onsite

Irvine, CA · On-site

$112K - $154K/yr

Applies strong engineering fundamentals and data analysis (signal interpretation, modeling ... Serves as the R&T engineering interface on cross-functional teams supporting clinical and ...

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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 Jun 18, 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:

Korean Bilingual Data Analyst AO7177536

Btisolutions

Santa Ana, CA

Full-time

Posted 9 days ago


Job description

Korean Bilingual Data Analyst AO7177536

Top Skills: Python, Data Modeling, Tableau
Korean/Bilingual
Top 4 things to focus on:
1. Experience in logistics, distribution center, warehouse, and/or supply chain environments
2. High proficiency in MS Excel, SQL, Access, PowerPoint, and BI Tools
3. Proficiency in SAP and WMS (Warehouse Management Systems)
4. Report automation & design
Job Description:
The Sr. Data & Reporting Analyst is responsible for all points of data mining, extraction, manipulation, analysis, and reporting. Accountable for developing and reporting daily, weekly and monthly analysis of key performance indicators related to warehouse operational metrics. This position requires an extremely detailed, timely, consistent and accurate approach to reporting. Having strong written and verbal communication skills are critical to succeed in this position as senior management and headquarters team will be the targeted audiences for the reports and analysis performed by this position. Reporting can also be used to set the priorities throughout the operations, ensuring that key issues are addressed. Daily/weekly briefings and communications are needed to ensure consistent information is shared throughout the operations. This position is a task-oriented role, requiring very good organizational skills and follow through. The position requires interaction with a broad number of employees to validate data and collaborate on discrepancies found. This position is a key role in the critical analysis of costs associated with the logistics warehouse and transportation operations & cost. This position is also responsible for supporting improvement opportunities throughout the organization, for monitoring discrepancies and escalating to appropriate parties.
In order to meet daily responsibilities, the candidate must be proficient with SAP, MS Excel, SQL, PowerPoint; and, must have experience developing dashboards using BI Tools.
Required Knowledge, Education and Experience:
Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
Experience in cost analysis, and reporting of key performance indicators
High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) is required
Experience in a logistics, warehouse, and/or supply chain (operations) environment is required
Experience with SAP is required
Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
Results driven and ability to handle multiple projects
Necessary Skills / Attributes:
Excellent analytical, decision-making, and problem solving skills
Strong data mining skills and experience extracting & manipulating data from multiple sources
Critical thinking skills - analysis, interpretation, inference, explanation, self-regulation, open-mindedness, and problem-solving
Strong math, communication, and organizational skills
Excellent attention to detail
Must be comfortable working in a multi-cultural business environment
Strong verbal and written communications skills
Ability to employ effective time management skills
Independently follow and execute work assignments
Must be able to work without supervision; self-starter
Ability to interact with all levels of management including executives
Performs work under time schedules and stresses which are normally periodic or cyclical, including time sensitive job stress, intellectual challenge, constant technical data feedback, and language barriers.
Duties & responsibilities will include but are not limited to:
Data & business analysis
Data mining & extraction from multiple sources to build reports
Daily, weekly, monthly report generation
Report automation & design
Maintaining existing dashboards; weekly & monthly analysis and reporting
Help drive critical business decisions by 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
Performance Standards
Data Accuracy - 99+% achievement rate
Timely Report Generation - 99+% achievement rate
Objective, simple presentation of data - 99+% achievement rate
__________________________________________
Beeline Summary:
The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.

Why work at BTI?

We're committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.

We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.