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Afternoon Data Analyst R Programming Jobs in Modesto, CA

Tesla

Data Analyst, Supply Chain

Lathrop, CA · On-site

Required : • Degree in a quantitative field (e.g., Engineering, Supply Chain, Computer Science ... Python for data analysis, automation, and pipeline development (e.g., pandas, NumPy) • ...

LLNL

Bioinfomatics Scientist

Livermore, CA

... software engineering, and interface with experimentalists generating large datasets to explore ... models for integrated data analysis and prediction. This position is in the Advanced ...

LLNL

Bioinfomatics Scientist

Livermore, CA · On-site

... software engineering, and interface with experimentalists generating large datasets to explore ... models for integrated data analysis and prediction. This position is in the Advanced ...

ICONMA

Fleet Support Analyst

Atwater, CA · On-site

ICONMA is an AV Manufacturing company seeking a Fleet Support Analyst for their Atwater, CA ... based programming systems for fleet-level data processing • Experience with software that ...

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 ...

DataAnnotation

Software Engineer Analyst

Modesto, CA · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

DataAnnotation

Software Engineer Analyst

Tracy, CA · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

DataAnnotation

Software Engineer Analyst

Stockton, CA · Remote

$40 - $75/hr

... take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and ...

Danaher

Digital Analyst Internships

Stockton, CA

$103.80K - $122.70K/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 ...

Gallo

Research Associate 1 - Microbiology

Modesto, CA · On-site

$27.98 - $41.92/hr

Experience applying advanced statistical and mathematical concepts and software to data analysis (R, Python, etc). * Experience applying mathematical operations to such tasks as frequency ...

Refresco

Maintenance Technician - 1st shift

Modesto, CA · On-site

$25.83 - $35.50/hr

Data analysis and identification of trends. * Internal customer focus with the ability to adapt to ... R = Rarely (0-15%) O = Occasionally (16-45%) F = Frequently (46-100%) Physical Demand R O F Stand ...

NextEra Energy

PGD Reliability Engineer

Tracy, CA · On-site

$92K - $138K/yr

This position requires analyzing performance data to direct operational teams toward units ... The engineer manages event response processes, ensures proper service request documentation, and ...

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.

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$35.9K

$87.2K

$143.5K

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

As of May 29, 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 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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Modesto, CA? The most popular types of Data Analyst R Programming jobs in Modesto, CA are:
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What cities near Modesto, CA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Modesto, CA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Analyst, Supply Chain

Data Analyst, Supply Chain

Tesla

Lathrop, CA • On-site

Full-time

Posted 16 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is a leading electric vehicle manufacturer looking for a Data Analyst to support its Material Planning department. The role involves building tools and platforms for supply chain analytics, automating workflows, and providing insights to enhance operational excellence.
Responsibilities:
• Build and maintain tools, dashboards, and platforms that provide end-to-end visibility into supply and demand planning across multiple tiers of the supply chain
• Design and run supply simulations to identify gating supply chains, forecast risk, and support proactive decision-making by planning and GSM teams
• Develop and maintain automated data pipelines for daily workflow orchestration, data extraction, transformation, and reporting
• Automate daily operational workflows to eliminate manual processes and drive operational excellence across Material Planning, GSM, and Component GSM teams
• Query and analyze large-scale datasets using SQL to uncover supply chain trends, exceptions, and actionable insights
• Develop Python-based automation scripts and data processing pipelines for data extraction, transformation, reporting, and simulation modeling
• Partner cross-functionally with Demand Planning, Material Planning, GSMs, Component GSM, Systems teams, and regional stakeholders to align analytics deliverables with operational priorities
• Support leadership with dashboards, ad-hoc analyses, supply risk assessments, and quarterly operational summaries
• Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met
• Partner with IT and Systems teams to define system requirements and participate in the software development lifecycle, from design to deployment and user acceptance testing
Qualifications:
Required:
• Degree in a quantitative field (e.g., Engineering, Supply Chain, Computer Science, Business Analytics, Economics) or equivalent experience or evidence of exceptional ability with 2+ years of work experience in supply chain analytics, demand/supply planning, or a related analytical role
• Strong proficiency in querying large datasets using SQL
• Experience with Python for data analysis, automation, and pipeline development (e.g., pandas, NumPy)
• Demonstrated ability to analyze complex data, run simulations, and present findings clearly and concisely
• Experience building and maintaining automated data pipelines and workflow orchestration using Apache Airflow or similar tools
• A collaborative, flexible, and open working style with the ability to build trust and credibility across planning, GSM, and systems teams
• Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met
• Partner with IT and Systems teams to define system requirements and participate in the software development lifecycle, from design to deployment and user acceptance testing
Preferred:
• Experience building frontend tools and platforms using React and JSS is highly preferred
• Experience creating dashboards and visualizations using tools like Tableau or similar is highly preferred
• Familiarity with supply chain concepts such as multi-tier planning, gating analysis, and supply/demand balancing is a strong plus
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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