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Afternoon Data Analyst R Programming Jobs in Lake Oswego, OR

Procom Consultants Group

Data Analyst

Hillsboro, OR

... programmer Quantitative research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and ...

Weir Group

Data Analyst

Portland, OR · On-site

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... You'll apply your skills to deliver results that matter whether that's through engineering ...

Weir

Data Analyst

Portland, OR

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... You'll apply your skills to deliver results that matter whether that's through engineering ...

Procom Consultants Group

Data Analyst

Hillsboro, OR · On-site

Data Analyst Mandatory Skills - BS degree with a technical discipline such as Mathematics, Computer Science, Information Systems, Engineering - Experience extracting and manipulating data from ...

Corvel

Data Analyst IV

Portland, OR

... DevOps. Communicate analysis results to stakeholders, propose and align on solutions, and create clear reports and gather feedback. Educ./experience: Four (4) years of experience as a Data Analyst ...

New

Impact Scale LLC

Data Scientist/Analyst

Vancouver, WA · On-site

$90K - $120K/yr

Experience with Python, R, or another analytical programming language strongly preferred . * Experience with data cleaning, transformation, validation, and quality assurance. * Ability to ...

iQ Credit Union

Data Analyst (53695)

Vancouver, WA · Remote

The Data Analyst will support the growth of the Credit Union's data culture. This role will be ... Maintain awareness of trends and advancements in programming technology and apply these ...

iQ Credit Union

Data Analyst (53711)

Vancouver, WA · Remote

The Data Analyst will support the growth of the Credit Union's data culture. This role will be ... Maintain awareness of trends and advancements in programming technology and apply these ...

IQ Credit Union

Data Analyst (53711)

Vancouver, WA · On-site

$85K - $124K/yr

The Data Analyst will support the growth of the Credit Union's data culture. This role will be ... Maintain awareness of trends and advancements in programming technology and apply these ...

Procom Services

211854 / Data Analyst

Hillsboro, OR · On-site

Web design and Multimedia programmer * Quantitative research * Unstructured data analysis * Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA

$105K - $161K/yr

In this role, you will partner closely with data engineers, data scientists, and the supplies ... Knowledge & Skills Analytics and problem solving: exploratory analysis, root-cause analysis, metric ...

Itvjob

Data Analyst Required In United States

Beaverton, OR · On-site

$79 - $100/hr

Work closely with engineers and interact cross functionally with teams including policy, marketing ... You need proven experience in data analysis, including compiling reports, conducting audits, and ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Lake Oswego, OR

Afternoon Data Analyst R Programming information

See Lake Oswego, OR salary details

$35K

$85K

$139.9K

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

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in Lake Oswego, OR is $85,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $99,800.00 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 Lake Oswego, OR look for?

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

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

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

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Lake Oswego, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,000 per year, or $40.9 per hour.

Data Analyst Engineer

Mattson Technology, Inc.

Hillsboro, OR • On-site

$70 - $90/hr

Other

Posted 2 days ago

New

Job description

Data Analyst Engineer

Position Summary: The Data Analyst Engineer is responsible for supporting data‑driven decision‑making and documentation processes by collecting, analyzing, and interpreting system and operational data. This role will work closely with engineering, technical support, and customer teams to ensure accurate reporting, process standardization, and continuous improvement, particularly in support of customer requirements.

Key Responsibilities
  • Collect, analyze, and interpret equipment and system performance data to identify trends, issues, and improvement opportunities
  • Develop and maintain dashboards, reports, and data visualization tools
  • Support predictive analysis to identify potential system failures and improve uptime
  • Collaborate with Technical Support and Engineering teams to document best known methods (BKMs), procedures, and manuals
  • Prepare documentation to align with customer‑specific standards and copy‑exact requirements
  • Manage and maintain documentation related to escalations, corrective actions, and system changes
  • Track, manage, and follow up on action items and key deliverables
  • Ensure data accuracy, integrity, and consistency across systems and reports
  • Support continuous improvement initiatives through data insights and process optimization
Qualifications
  • Master's degree in Engineering, Computer Science, Data Analytics, or a related field
  • 0–3 years of experience in data analysis, engineering, or a related technical role (new graduates encouraged to apply)
  • Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar)
  • Experience with data visualization tools (e.g., Power BI, Tableau) preferred
  • Strong analytical, problem‑solving, and organizational skills
  • Ability to work cross‑functionally and communicate effectively with technical and non‑technical stakeholders
Preferred Skills
  • Experience in semiconductor or manufacturing environments
  • Familiarity with technical documentation and process standardization
  • Understanding of system performance metrics and predictive analytics
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