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Afternoon Data Analyst R Programming Jobs in Boise, ID

SynergisticIT

Java Developer with Cloud

Boise, ID

$48.50 - $62.75/hr

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... programming language Java and understanding of the software development life cycle knowledge of ...

Clearwater Analytics

Product Support Analyst

Boise, ID · On-site

... data validation, and operational requests. • Collaborate with product owners and developers to ... analytics or a related field. • 4+ years of relevant experience. What we offer: • Business ...

Clearwater Analytics

Product Support Analyst

Boise, ID · Hybrid

The Product Support Analyst (PSA) plays a key role in ensuring the reliability and usability of ... data validation, and operational requests. Collaborate with product owners and developers to ...

Elite WorkForce Inc

Business Analyst at ID

Boise, ID · On-site

Analyze data to identify trends that inform business decisions. * Write user stories in Azure DevOps for development teams. * Ensure alignment of IT solutions with business goals and priorities.

Micron Technology

Staff Data Scientist

Boise, ID · On-site

... analytical models and predictive solutions that support decision-making across Finance. You will apply your knowledge in mathematics, statistics, machine learning, and data engineering to build ...

Micron

Senior Data Scientist

Boise, ID · On-site

Employer will accept a Master's degree in Industrial Engineering, Data Analytics, Data Science, or a related field and 3 years of experience in the job offered or in a related occupation. Position ...

Lovevery

Senior Data Engineer, Analytics

Boise, ID · On-site

$100K - $137K/yr

About the role We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping our data strategy and enabling data excellence across the business. This is a high-impact individual ...

Lovevery

Senior Data Engineer, Analytics

Boise, ID · On-site

$100K - $137K/yr

About the role We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping our data strategy and enabling data excellence across the business. This is a high-impact individual ...

Lovevery

Senior Data Engineer, Analytics

Boise, ID · On-site

$100K - $137K/yr

About the role We are seeking a Senior Data Engineer, Analytics to play a pivotal role in shaping our data strategy and enabling data excellence across the business. This is a high-impact individual ...

Micron Technology

Sr. Operations Research Analyst

Boise, ID · On-site

$93K - $110K/yr

Work with a team of engineers to lead and participate in multi-disciplinary teams to develop solutions to support data analysis of strategy options and technology changes in current and future ...

Micron

Sr. Operations Research Analyst

Boise, ID · On-site

$93K - $110K/yr

Work with a team of engineers to lead and participate in multi-disciplinary teams to develop solutions to support data analysis of strategy options and technology changes in current and future ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Boise, ID

Afternoon Data Analyst R Programming information

See Boise, ID salary details

$32.4K

$78.7K

$129.4K

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

As of Jun 10, 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:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Boise, ID look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Boise, ID are:
Afternoon Data Analyst R Programming jobs near you

Application Engineer -Semiconductor Experience Needed

ONEPOWER Consulting

Boise, ID

$80K - $120K/yr

Full-time

Posted 21 days ago

Job description

Job Overview

We are looking for a dedicated Application Engineer to join our US team. This role serves as a technical bridge for our advanced SEM metrology systems, working directly with major semiconductor manufacturers. You will not only support existing installations but also demonstrate our latest technologies to solve the customer's most critical R&D and production challenges.

We offer a comprehensive training program, including 6+ months of on-site mentorship by senior engineers and periodic technical training at our Headquarters in Japan.

Key Responsibilities

Customer Support & Solutions: Collaborate with customers to identify process control challenges and propose technical solutions using our SEM metrology tools. Demonstration & Optimization: Demonstrate the capabilities of the latest tool functions and optimize measurement recipes for various semiconductor processes (R&D to HVM). Data Analysis: Analyze large datasets to verify tool performance and process stability, reporting findings to customers and internal teams. Reporting & Communication: Conduct regular progress review meetings with customers and report field technical status to Headquarters. Prepare and deliver professional presentations to summarize evaluation results and project milestones. Training: Conduct technical training for customers on tool operation, recipe creation, and data interpretation. Troubleshooting: Primary focus on software/application troubleshooting. (Ability to assist with hardware diagnosis is a plus).

Qualifications

[Must Have]

Industry Experience: Experience in semiconductor front-end equipment or manufacturing processes. Legal: Valid work authorization in the United States.

[Preferred / Nice to Have]

Technical Knowledge: Strong understanding of semiconductor device fabrication, metrology concepts, and image processing. Operational Discipline: Meticulous attention to detail and a cautious approach to operating equipment and handling data. Data Analysis Skills: Experience with data analytics tools such as Excel, Spotfire, JMP, or R for handling high-volume metrology data. Layout Data Skills: Experience handling design layout data formats such as GDS or OASIS. Coding Skills: Basic scripting capability (e.g., Python, macro scripts) to automate data handling or recipe generation. Hardware Knowledge: Basic understanding of SEM hardware or vacuum systems. Cultural Fit: Familiarity with Japanese business culture or experience working with international teams.

Travel

Occasional travel between Boise and Phoenix may be required (low frequency). Periodic travel to Japan Headquarters for advanced training (approx. once every 2-3 years).