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Afternoon Data Analyst R Programming Jobs in Bismarck, ND

Element Materials Technology

Data Processor

Bismarck, ND · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

MDU Resources

Financial Analyst I

Bismarck, ND · On-site

This role collaborates with operations, engineering, and project teams to ensure accurate ... Must take all measures necessary to protect networks, devices, programs and data from cyber-attack ...

MDU Resources Group

Financial Analyst I

Bismarck, ND · On-site

$57 - $71/hr

This role collaborates with operations, engineering, and project teams to ensure accurate ... Must take all measures necessary to protect networks, devices, programs and data from cyber-attack ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Bismarck, ND

Afternoon Data Analyst R Programming information

See Bismarck, ND salary details

$33.9K

$82.3K

$135.5K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Bismarck, ND is $82,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,600.00 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.

What job categories do people searching Afternoon Data Analyst R Programming jobs in Bismarck, ND look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Bismarck, ND are:

What cities near Bismarck, ND are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Bismarck, ND with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Data Processor

Element Materials Technology

Bismarck, ND

Full-time

Re-posted 17 days ago

Element Materials Technology rating

7.1

Company rating: 7.1 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

81st of 121 rated laboratories

Job description

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring.

Responsibilities

  • Propose engineering documents for clients' approval, on-site installation and hands-on monitoring of sensors, instruments, and equipment 
  • Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports 
  • Attending project meetings, schedule control, submit for permits for on-site installation, set up, and commission monitoring 
  • Assist in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring, providing input into health, safety, environmental and quality policies ensuring uptodate documentation 
  • Liaise and coordinate with client for installation and monitoring issues while overseeing all instrumentation works including production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting 
  • Shall be responsible for preparing all necessary reports as specified in the contract’s documents and client submission 

Skills / Qualifications

  • Working experience in geotechnical instrumentation and site investigation works 
  • Physically fit and able to withstand the challenging working conditions 
  • Strong and determined quality focus with indefatigable determination to get the job done under the most challenging conditions 
  • Self-motivated team player with excellent organisational and communication skills

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