1

Afternoon Data Analyst R Programming Jobs in Portland, OR

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91.20K - $115.10K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the companys ... Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business ...

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91.20K - $115.10K/yr

About the Role PayRange is looking for a Senior Data Analyst, BI & Analytics to become the company ... Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business ...

Big Data Laser Analyst Description - Job Summary We are seeking a highly analytical, business ... You will partner closely with data engineers and data scientists to improve data reliability ...

... business analysis. • Bachelor's degree in engineering, quality, computer science, or related ... in Python, R, MATLAB, or similar programming environments. • Knowledge of Lean Six Sigma ...

... analytics and reporting users. * Familiarity with programming or scripting languages such as Python, R, or Java is a plus. * Experience with healthcare data is strongly preferred. Primary Functions:

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

next page

Showing results 1-20

Afternoon Data Analyst R Programming information

See Portland, OR salary details

$36.1K

$87.6K

$144.2K

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

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Portland, OR is $87,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 most commonly searched types of Data Analyst R Programming jobs in Portland, OR? The most popular types of Data Analyst R Programming jobs in Portland, OR are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Portland, OR? For Afternoon Data Analyst R Programming jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Portland, OR look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Portland, OR are:
What cities near Portland, OR are hiring for Afternoon Data Analyst R Programming jobs? Cities near Portland, OR with the most Afternoon Data Analyst R Programming job openings:

Contractor

Posted 5 days ago


Job description

Job Description
APLA Data Engineer
Remote Beaverton
Overview
• Seeking a seasoned, hands-on SQL Data Analyst with deep knowledge with Snowflake and Teradata
• Proven experience focused on data analytics, and data reporting using the following toolset: Cognos & Tableau.
• Ability to work as a Lead Data Analyst that can also mentor and guide Junior Data Engineers (20-30 on the team) an guide issues in data performance across geographies in APLA.