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Afternoon Data Analyst R Programming Jobs in Roseburg, OR

Sr. Data Analytics Engineer

OR ยท Remote

$117K - $140K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and ...

Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise-wide data strategy. * Monitor changes in the ...

Advanced SAS analysis and reporting skills * Prior regulatory submission experience * Thorough ... Familiar with R Programming language * Statistical programming experience in a clinical development ...

Data Scientist

OR ยท On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Data Scientist

OR ยท Remote

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.

Sr. Data Analytics Engineer

OR ยท Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

... analytic workflows for predictive and prescriptive intelligence. * Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience ...

Bluespine-Sr. FWA Analyst

OR ยท On-site +1

Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ... Strong analytical skills and ability to approach tasks in a scientific manner. * Background in SIU ...

Senior Data Scientist

OR ยท On-site +1

... analytic workflows for predictive and prescriptive intelligence. * Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience ...

AWS Data Engineer Snowflake

OR ยท On-site

$107K - $128K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

AWS Data Engineer Snowflake

OR ยท Remote

$117K - $140K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Lead Strategic Analytics: Partner with Product, Finance, Engineering, and Executive leaders to identify opportunities for advanced analytics, AI, and data-driven decision making. * Develop KPI ...

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Showing results 1-20

Afternoon Data Analyst R Programming information

See Roseburg, OR salary details

$34.4K

$83.7K

$137.7K

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

As of Aug 28, 2026, the average yearly pay for afternoon data analyst r programming in Roseburg, OR is $83,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $98,200.00 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.

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

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

What cities near Roseburg, OR are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Roseburg, OR with the most Afternoon Data Analyst R Programming job openings:

Biostat III - Clinical Statistical Developer (R/AI) - LPAB

OR โ€ข On-site

TechData Service Company LLC
Biotechnology Research and Developmentย โ€ขย 51 - 200 employees

$80 - $85/hr

Contractor

Medical, Dental, Vision

Posted 15 days ago


Job description

Biostatistician III – Clinical Statistical Developer (R/AI)
100% Remote | 12-Month Contract | Major Pharmaceutical Company

Looking for a hands-on clinical statistician/developer with strong R programming who enjoys solving real study-team problems—not just traditional statistical support.

  • Strong R development required; SAS helpful
  • Clinical trial/statistical analysis experience
  • Build reusable statistical tools/modules and perform ad hoc analyses
  • Work directly with study teams across therapeutic areas
  • AI/agent experience is a major plus
  • Strong communication and problem-solving skills
  • MS or PhD in Biostatistics, Statistics, or related field

Best fit: A strong clinical statistician who loves R, building solutions, and exploring how AI can improve statistical work.

Company Description

https://quantive.bio/