ZipRecruiter

Log In

2

Remote Data Analyst R Programming Jobs in Boise, ID

H R PUNDITS INC

Data Analyst V

Boise, ID · Remote

$130K/yr

USA Remote Responsibilities * Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches. * Synthesize and analyze customer feedback from ...

DataAnnotation

Software Engineer Analyst

Meridian, ID · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Software Engineer Analyst

Boise, ID · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

DataAnnotation

Software Engineer Analyst

Nampa, ID · Remote

$40 - $75/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

next page

Showing results 1-20

People also search for

All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Boise, ID

Remote Data Analyst R Programming information

See Boise, ID salary details

$32.4K

$78.7K

$129.4K

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

As of Jun 10, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
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 Remote Data Analyst R Programming jobs in Boise, ID? For Remote Data Analyst R Programming jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Boise, ID look for? The top searched job categories for Remote Data Analyst R Programming jobs in Boise, ID are:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Boise, ID as of June 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,653 per year, or $37.8 per hour.

Data Analyst V

H R PUNDITS INC

Boise, ID • Remote

$130K/yr

Full-time

Posted 24 days ago

Job description

Data Analyst V
Location: USA Remote
Responsibilities
  • Work with large and complex datasets to solve challenging problems using various analytical and statistical approaches.
  • Synthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.
  • Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.
  • Use clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.
  • Develop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.
  • Integrate customer feedback data with other transactional, operational, and Req Intake Template behavioral data sources to create a comprehensive picture of customer experience drivers.
  • Advocate for customers and influence corrective actions
Please submit 10+ years profiles only
Must Have
1 Very technical with marketing background
2 Customer segmentation for marketing
3 Customer support
4 Comfortable with temporary tables in SQL
5 Strong skills in Python Pandas and data structures
6 Experience with data modeling (regression, NLP).

This is a remote position.