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Afternoon Data Analyst R Programming Jobs in Jamestown, ND

Surgical Technologist

Jamestown, ND · On-site

$23.27 - $34.91/hr

ANALYTICAL ABILITY - Required to gather and interpret data on physician preference cards, to ... R. Must demonstrate social sensitivity and the ability to communicate effectively with co-workers ...

Afternoon Data Analyst R Programming information

See Jamestown, ND salary details

$33.7K

$82K

$134.9K

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

As of Aug 16, 2026, the average yearly pay for afternoon data analyst r programming in Jamestown, ND is $81,982.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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.

Infographic showing various Afternoon Data Analyst R Programming job openings in Jamestown, ND as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,982 per year, or $39.4 per hour.

IT Business Support Analyst

Farmers Union Insurance

Jamestown, ND • On-site

Full-time

Posted 27 days ago


Job description

The IT Business Support Analyst is the link between business stakeholders and technical teams. They will be responsible for making independent, creative, and technical contributions. The IT Business Support Analyst identifies end-user business and functional requirements for the implementation, enhancement, and updates to business solutions, system utilization and optimization, workflow creation, reporting, and end-user training. The IT Business Support Analyst will utilize insurance industry insight as well as an understanding of data flow within relational databases inform their work. This position will support the design and development of any new projects and general tasks and will help to perform necessary programming to ensure any new projects are completed and functioning properly.
Key Responsibilities:
• Project leader supporting business needs.
• Pull, Distribute, and assist in analyzing company and industry data as requested by stakeholders.
• Lead the design and development of reporting tools within all business functions.
• Assist with vendor integration to support internal customers.
• Assist in the development of training materials.
• Participate in system test reviews, development design reviews, usability studies, status meetings and walkthroughs
• End-to-end delivery of requirements throughout the life cycle of the project in alignment with the business needs and strategies.
• Must be able to develop an understanding of the company's testing methods and equipment and the related data and reporting requirements.
• Look at metrics and results from the use of systems to see if they are acceptable from a corporate standpoint.
• Triage and resolve incoming help desk tickets related to our Policy Administration System.
• Coordinate issues logged in the ticketing systems with our stakeholders and vendors.
• Other duties as assigned.
Knowledge, Skills and Abilities:
• Proficient in Microsoft Office and SQL.
• Current holder of, or working towards, a professional designation.
• Organized and detail oriented, able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently.
• Problem analysis and problem resolution at both a strategic and functional level.
• Strong technology, analytical and communication skills.
• Results oriented; strong ability to execute large initiative with multiple stakeholders.
• Detail oriented, analytical and inquisitive.
• Clear written and verbal communications.
• Extremely organized with strong time-management skills.
Education and Experience Required:
• Prefer a bachelor's degree in business, information technology, or computer science.
• Prefer 3+ years experience in an IT focused environment.
• Prefer 3+ years' experience in Property & Casualty (P&C) Insurance industry.
• Prefer holder of an insurance designation.
Work Location:
• This position is available for in office or remote placement.