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Afternoon Data Analyst R Programming Jobs in Fargo, ND

Performance Monitoring and Analysis: -Sets strategic direction for data center operations ... engineering leadership, organizing resources and ensuring strategic timelines and long-term ...

Performance Monitoring and Analysis: -Leads performance trend analyses related to capacity ... center engineering, ensuring all timelines and capacity needs are strategically managed for ...

Performance Monitoring and Analysis: -Leads performance trend analyses related to capacity ... center engineering, ensuring all timelines and capacity needs are strategically managed for ...

Performance Monitoring and Analysis: -Leads performance trend analyses related to capacity ... center engineering, ensuring all timelines and capacity needs are strategically managed for ...

Performance Monitoring and Analysis: -Leads performance trend analyses related to capacity ... center engineering, ensuring all timelines and capacity needs are strategically managed for ...

Senior Incentive Analyst

Fargo, ND · On-site

$91K - $121K/yr

Strong data analytics, HR software, Excel and Power BI capabilities. * Highly collaborative with ... For more than a century, we've been at the forefront of designing, building, and engineering ...

Solutions Engineer, Remote

Fargo, ND · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... Proficiency in SQL and Python is required; experience with additional programming languages or ...

Backend Java Developer

Horace, ND · On-site

$49.50 - $64.25/hr

Data Analysts, Data Scientists * Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles: * Bachelor's or Master's degree in CS, CE, EE, IT, or related

... data analysis relative to determining priority focus areas for Border States' Alliance customers ... Minimum of a four-year business, technical, engineering or marketing degree preferred or the ...

... data analysis relative to determining priority focus areas for Border States' Alliance customers ... Minimum of a four-year business, technical, engineering or marketing degree preferred or the ...

Fraud Risk Analyst

Fargo, ND · On-site

$92K - $109K/yr

... Programming experience in SAS, Python and/or SQL - Comprehensive knowledge of all departmental data ... lines - Strong analytical skills relative to evaluating fraud prevention infrastructure and ...

... data used for engineering design, cost estimating, and construction verification. This includes oversight of LiDAR data processing, point cloud analysis, surface modeling, and validation of grading ...

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Afternoon Data Analyst R Programming information

See Fargo, ND salary details

$33.4K

$81.1K

$133.5K

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

As of Jun 27, 2026, the average yearly pay for afternoon data analyst r programming in Fargo, ND is $81,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 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 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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Fargo, ND? For Afternoon Data Analyst R Programming jobs in Fargo, ND, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Fargo, ND look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Fargo, ND are:
Manufacturing Operations Analyst

Manufacturing Operations Analyst

THE RITESCREEN COMPANY LLC

Fargo, ND • On-site

$80K - $95K/yr

Full-time

Posted 18 days ago


RiteScreen rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

RiteScreen is seeking a highly analytical and collaborative Operations Analyst to support operational performance and value-creation initiatives across our manufacturing operations. This is a remote, U.S.-based position embedded in the day-to-day performance of our plants.

In this role, you will serve as a trusted analytical partner to operations leadership — pulling and transforming complex operational data from the plant floor and our production systems into clear insights that drive efficiency, cost reduction, and performance improvements. You'll work cross-functionally with production, maintenance, quality, and supply chain teams to improve reporting, identify root causes of operational challenges, and support practical shop-floor improvements.

This is a manufacturing operations role — not a business or systems analyst role. Your focus is operational and production performance (scrap, downtime, throughput, variance to standard, plant KPIs) pulled from real shop-floor and ERP/MES/WMS data — not software requirements, system implementations, or business-process documentation. It's ideal for someone who enjoys digging into messy or incomplete manufacturing data, building structure where it doesn't exist, and helping plants make better decisions through better data.

Key Responsibilities

Operational Performance & Analytics

  • Pull and analyze production losses including scrap, rework, downtime, changeovers, and speed loss, and quantify their financial impact.
  • Perform variance analysis for labor, materials, overhead, and manufacturing performance vs. standard.
  • Develop and maintain standardized dashboards and KPI reporting that provide clear visibility into plant performance across locations.
  • Standardize metrics, definitions, and reporting cadence to ensure consistent performance measurement across the manufacturing network.
  • Translate complex operational data into clear insights and recommendations for plant leadership and executive teams.

Data Infrastructure & Reporting

  • Work directly with ERP, MES, WMS, and manual shop-floor data sources to reconcile inconsistencies and establish a single source of truth for operational data.
  • Create and maintain data definitions, mapping, and governance standards, including metric definitions and master data alignment.
  • Improve reporting efficiency by automating reports and reducing manual spreadsheet processes while keeping solutions practical for plant use.

Continuous Improvement

  • Support root cause analysis using structured problem-solving tools such as 5-Why, Pareto, and Fishbone analysis.
  • Assist with Lean initiatives, including standard work, visual management, daily management routines, and Kaizen events.
  • Track initiative outcomes including cost savings, capacity improvements, service gains, and quality improvements.

Cross-Functional Collaboration

  • Partner with Production, Maintenance, Quality, Planning, and Procurement to strengthen data capture and operational decision-making on the floor.
  • Translate analytical findings into clear shop-floor actions and leadership summaries.
  • Support operational rhythms including daily huddles, weekly operations reviews, and monthly business reviews.

Planning & Execution

  • Assist with capacity planning, labor planning, and line scheduling analytics.
  • Identify operational bottlenecks and constraints.
  • Provide ad hoc operational analysis for plant leadership including downtime trends, staffing needs, supplier impacts, and service recovery opportunities.
Qualifications

Required

  • Bachelor's degree in Business Analytics, Statistics, Mathematics, Operations, Supply Chain, Engineering, Finance, or a related field (or equivalent experience).
  • 1–4+ years of experience in operations analysis, manufacturing, logistics, warehousing, or a related analytical role — ideally in a manufacturing or production environment.
  • Strong analytical and problem-solving skills with the ability to translate operational data into actionable insights.
  • Advanced Microsoft Excel skills (pivot tables, lookups, charts; Power Query a plus).
  • Experience working with large, real-world operational datasets.
  • Strong communication skills with the ability to work across all levels of the organization, from the shop floor to the executive team.
  • Self-starter with a proactive mindset and strong sense of ownership.

Technical Skills

  • Microsoft Office Suite and SharePoint
  • SQL for data extraction
  • Power BI or Tableau for dashboard development
  • Working knowledge of manufacturing financial drivers and operational cost structures

Preferred Experience

  • Manufacturing or production operations environment (strongly preferred)
  • Continuous improvement methodologies (Lean, Six Sigma, Kaizen)
  • KPI and dashboard development
  • Process mapping and operational analysis
  • Forecasting, scenario modeling, and trend analysis
  • ERP, WMS, or MES systems
Additional Information
  • This is a remote, U.S.-based role. Occasional travel may be required to support RiteScreen's manufacturing locations.
  • This role offers the opportunity to build structure, improve operational visibility, and directly impact performance improvements across the organization.
Work Authorization

This position is open to candidates who are currently authorized to work in the United States without the need for current or future employer sponsorship. RiteScreen does not offer visa sponsorship for this position.

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