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Afternoon Data Analyst R Programming Jobs in Modesto, CA

NuCal Foods

Be Seen First

Programmer Analyst

Ripon, CA · On-site

$85K - $95K/yr

Analyze existing systems, workflows, and data structures to identify improvement opportunities ... Strong proficiency in SQL and at least one programming language (e.g., C#, .NET, Java, Python, or ...

Danaher

Digital Analyst Internships

Stockton, CA

$103K - $122K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Stockton, CA · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

G3

Analyst 2-Sourcing

Modesto, CA · On-site

Develops and evaluates cost models based upon financial data extracted from industry research ... Preferred Qualifications • Bachelor's degree in business, engineering or sciences plus 5 years of ...

New

G3 Enterprises

Analyst 2-Sourcing (15355)

Modesto, CA · On-site

Data Collection/Organization: Collects, organizes and analyzes data from internal/external sources ... Preferred Qualifications Bachelor's degree in business, engineering or sciences plus 5 years of ...

Gallo

Analyst 2 - Supply Chain Scheduling

Modesto, CA · On-site +1

$70K - $105K/yr

A Taste of What You'll Do Do you love turning complex data into clear business decisions? GALLO is ... What You'll Need * MBA degree plus 1 years of Supply Chain, Finance, Engineering, Operations ...

Gallo

Analyst 2 - Supply Chain Scheduling

Modesto, CA · On-site +1

$70K - $105K/yr

A Taste of What You'll Do Do you love turning complex data into clear business decisions? GALLO is ... What You'll Need * MBA degree plus 1 years of Supply Chain, Finance, Engineering, Operations ...

mlp

Continuous Improvement Engineer

Stockton, CA

$78K - $90K/yr

Continuous Improvement Engineer We are seeking a high-energy, results-driven, and detail-oriented ... Skilled in data analytics and project tracking tools (Excel, Power BI, MS Projects, Etc.

mlp

Continuous Improvement Engineer

Stockton, CA · On-site

$78K - $90K/yr

Continuous Improvement Engineer We are seeking a high-energy, results-driven, and detail-oriented ... Skilled in data analytics and project tracking tools (Excel, Power BI, MS Projects, Etc.

mlp

Continuous Improvement Engineer

Stockton, CA

$78K - $90K/yr

Continuous Improvement Engineer We are seeking a high-energy, results-driven, and detail-oriented ... Skilled in data analytics and project tracking tools (Excel, Power BI, MS Projects, Etc.

C&S Wholesale Grocers

Senior Industrial Engineer

Lathrop, CA · On-site

$102K - $135K/yr

This will include process engineering, data collection and analysis, associate training, as well as implementation and support of the program. The successful candidate will provide support for all DC ...

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

Afternoon Data Analyst R Programming information

See Modesto, CA salary details

$35.9K

$87.2K

$143.5K

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

As of Jun 20, 2026, the average yearly pay for afternoon data analyst r programming in Modesto, CA is $87,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,300.00 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 the most commonly searched types of Data Analyst R Programming jobs in Modesto, CA? The most popular types of Data Analyst R Programming jobs in Modesto, CA are:
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Afternoon Data Analyst R Programming jobs near you
Programmer Analyst

Programmer Analyst

NuCal Foods

Ripon, CA • On-site

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

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Job description


Position Summary 

The Programmer Analyst is responsible for analyzing business requirements, designing technical solutions, developing and maintaining applications, and supporting system integrations. This role bridges the gap between business needs and technology by translating functional requirements into efficient, scalable solutions. 

Key Responsibilities 

Analysis & Requirements Gathering 

  • Collaborate with business stakeholders to understand operational needs and translate them into technical requirements 
  • Analyze existing systems, workflows, and data structures to identify improvement opportunities 
  • Document functional and technical specifications 


Development & Implementation 

  • Design, develop, test, and deploy applications, integrations, and reports 
  • Write clean, maintainable, and efficient code following best practices 
  • Customize and extend enterprise systems (e.g., ERP platforms like Microsoft Dynamics 365) 
  • Build and maintain APIs, data integrations, and automation workflows 


System Support & Maintenance 

  • Troubleshoot and resolve system issues, bugs, and performance problems 
  • Provide ongoing support for business-critical applications 
  • Perform system upgrades, patches, and enhancements 


Data & Reporting 

  • Develop and maintain reports, dashboards, and data extracts (e.g., SQL, Power BI) 
  • Ensure data accuracy, integrity, and availability 
  • Support data integrations across systems (ERP, EDI, warehouse systems, etc.) 


Collaboration & Communication 

  • Work closely with IT, operations, customer service, sales 
  • Provide technical guidance to functional users 
  • Participate in project planning, testing, and go-live support 

Required Qualifications 

  • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) 
  • 3+ years of experience in programming, systems analysis, or application development 
  • Strong proficiency in SQL and at least one programming language (e.g., C#, .NET, Java, Python, or similar) 
  • Experience with ERP systems (e.g., Microsoft Dynamics 365, SAP, Oracle) 
  • Knowledge of system integrations, APIs, and data exchange formats (e.g., JSON, XML, EDI) 
  • Strong analytical and problem-solving skills 

Preferred Qualifications 

  • Experience with Microsoft Dynamics 365 Finance & Operations or Supply Chain Management 
  • Familiarity with Power Platform (Power BI, Power Automate, Power Apps) 
  • Experience with data warehousing, Azure, or cloud-based integrations 
  • Knowledge of warehouse management systems and operational workflows 

Key Competencies 

  • Strong attention to detail and accuracy 
  • Ability to manage multiple priorities in a fast-paced environment 
  • Excellent communication and documentation skills 
  • Problem-solving mindset with a proactive approach 
  • Ability to work independently and as part of a team 

Work Environment 

  •  Office-based role 
  • Occasional after-hours support may be required during system upgrades or critical incidentsÂ