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Afternoon Data Analyst R Programming Jobs in Boise, ID

J.R. Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130K/yr

Conducts thorough analysis of technical and data requirements ranging from moderate to advanced ... The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all ...

VS Tech Solutions

Senior Data Engineer

Boise, ID · On-site +1

$100K - $137K/yr

Experience with designing high-performing reporting/analytical schemas * Experience in data structures, algorithms, and strong programming skills in Python, R or Java * Experience working with large ...

Deloitte

Data Product Analyst

Boise, ID · On-site

Analyze and measure product performance and partner with engineering, QA, and business stakeholders to deliver iterative improvements. * Evaluate data usability, quality, and business value to inform ...

Computech Corporation

Data Scientist

Boise, ID · On-site

Expert in statistical techniques for data analysis using R * Expert in creating predictive model for use cases to be defined at project initiation. Sample use cases include predicting trends based on ...

Deloitte

Data Scientist

Boise, ID · On-site

... programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms. * 5+ Years of Experience with data manipulation and analysis ...

SynergisticIT

Data Engineer (Entry-Level)

Boise, ID · On-site

$109K - $130K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

Canyon County, ID

GIS Analyst

Caldwell, ID · On-site

$29.73 - $35.29/hr

Programming and data analysis tools including Python, R, and SQL used for GIS automation, data manipulation, and application support. * Interpretation and application of legal descriptions, deeds ...

Micron Technology

Sr Data Scientist

Boise, ID · On-site

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing ...

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Afternoon Data Analyst R Programming information

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$32.4K

$78.7K

$129.4K

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

As of Jun 9, 2026, the average yearly pay for afternoon data analyst r programming in Boise, ID is $78,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 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.

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 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 Boise, ID? The most popular types of Data Analyst R Programming jobs in Boise, ID are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Boise, ID? For Afternoon Data Analyst R Programming jobs in Boise, ID, the most frequently searched job titles are:
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Afternoon Data Analyst R Programming jobs near you
Data Engineer III

Data Engineer III

J.R. Simplot Company

Boise, ID • On-site

$109K - $130K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Simplot is a family-owned, privately held global food and agriculture company headquartered in Boise, Idaho. Its integrated portfolio of companies includes food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture. Simplot has major operations in nine countries with products and services available to customers worldwide. 

Summary

This role applies intermediate to advanced data engineering principles, theories, and concepts to solve a range of data and platform challenges of varying complexity. The Data Engineer III utilizes modern cloud data tools, distributed processing frameworks, and professional knowledge acquired through specialized training, education, and experience. The role exercises professional judgment-from limited to independent decision-making-within defined standards and practices to determine and execute appropriate technical actions.

The position develops practical expertise across data engineering domains including SQL-based transformation and modeling, cloud-native data platforms, and large-scale data processing using PySpark. The engineer acts as a collaborative and informed team member by providing technical analysis and recommendations in support of team and business outcomes, evaluating data engineering challenges and contributing to solution development through well-reasoned technical guidance.

Why This Role is Exciting

  • Work with Leading Data Platforms: Build and support scalable cloud data solutions using Databricks, PySpark, SQL, and Azure-based services.
  • Expand Your Data Engineering Expertise: Grow skills in distributed data processing, data modeling, automation, and CI/CD within a modern lakehouse architecture.
  • Join an Innovative Team: Be part of a data engineering team with a strong history of delivering robust, reliable, and scalable data solutions that support enterprise analytics and decision-making.


Candidates must be willing to work in office at the Simplot HQ in Boise, ID. 

Key Responsibilities
  • Participates as a member of a data engineering team responsible for cloud data platforms and pipelines
  • Conducts thorough analysis of technical and data requirements ranging from moderate to advanced complexity to support solution design and implementation
  • Designs, builds, and maintains data pipelines and transformations using SQL, Python, and PySpark
  • Develops and supports data models and curated datasets optimized for analytical and downstream consumption
  • Completes data engineering activities independently or as defined by more senior engineers, following established standards and best practices
  • Leads or contributes to technical design reviews and outcome reviews
  • Designs, prepares, and executes automated test plans for data pipelines and transformations
  • Leverages advanced data engineering expertise to perform routine and complex maintenance, optimization, and production support, ensuring reliability, scalability, and performance
  • Collaborates effectively with business, analytics, and technical teams, leveraging strong interpersonal skills to drive alignment and trust in data solutions
Typical Education

Bachelor's Degree (B.A. or B.S.) from a 4-year college or university, preferably in Computer Science, Engineering, Information Systems, or a related field

Relevant Experience

5+ years of related experience and/or training

    • Advanced understanding of data engineering concepts with the ability to address complex data and platform challenges
    • Strong proficiency in SQL for data transformation, optimization, and modeling
    • Applies advanced data engineering methodologies including ELT/ETL, data orchestration, data modeling, and data quality practices
    • Familiarity with CI/CD practices and version-controlled deployments for data engineering solutions
    • Strong verbal and written communication skills, contributing to design discussions and technical documentation
    • Applies critical thinking and strong technical aptitude to solve complex data problems
Preferred Experience (Nice to Have)
  • Hands-on experience with PySpark and Databricks for building and operating scalable data solutions
  • Proficiency in Python for data engineering workflows and automation
  • Experience working in Azure-based data platforms such as Databricks, Azure Data Lake, and Azure DevOps
  • Experience delivering data solutions using Agile software development methodologies
  • Experience supporting or enabling analytics, BI, or data science workloads

Job Requisition ID: 25665

Travel Required: 

Location(s): Simplot Headquarters - Boise 

Country: United States


**The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. **

J.R. Simplot logo

About J.R. Simplot

Sourced by ZipRecruiter

The J.R. Simplot Company is a diverse, privately held organization, with roots firmly planted in agriculture and agriculture-related businesses.

Industry

Food and drink manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Boise, ID, US

Year founded

1955

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