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Afternoon Data Analyst R Programming Jobs in Happy Valley, OR

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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 ...

Data Scientist 4

Tualatin, OR · On-site

$120 - $180/hr

Who We're Looking For 5-7+ years of continuous improvement experience, including analytical work ... Proficiency in Python, R, MATLAB, or similar programming environments. * Knowledge of Lean Six ...

New

Data Analyst, BI Developer, Data Engineer, Solutions Architect, or Systems Administrator with strong analytics experience * Experience supporting Microsoft environments, system integrations, and ...

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science ... Experience with R software product(s). Energy/utility industry experience. Experience with Power BI ...

Data Scientist

Vancouver, WA · On-site

$90 - $96/hr

... Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science ... Experience with R software product(s). Energy/utility industry experience. Experience with Power BI ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science ... Experience with R software product(s). Energy/utility industry experience. Experience with Power BI ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Engineer Google Advanced Data Analytics Certificate for Machine Learning IBM Data Science ... Experience with R software product(s). Energy/utility industry experience. Experience with Power BI ...

... R, or similar analytical tools. * Knowledge of semiconductor, laser, or other advanced ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

... Python, R, or similar analytical tools. * Knowledge ofsemiconductor,laser, or other advanced ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

... 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:

Showing results 21-40

Afternoon Data Analyst R Programming information

See Happy Valley, OR salary details

$35.4K

$86K

$141.5K

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

As of Aug 21, 2026, the average yearly pay for afternoon data analyst r programming in Happy Valley, OR is $85,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 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 Happy Valley, OR look for?

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

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

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Happy Valley, OR as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $85,971 per year, or $41.3 per hour.

System and Data Analyst

Vancouver Housing Authority

Vancouver, WA • On-site

$85K - $127K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 14 days ago


Job description

This position is open until filled. To ensure consideration, applications should be received by Monday, August 24.
Applications must have direct, hands-on experience with Yardi software to be considered.
The Systems and Data Analyst position performs advanced technical work developing and implementing solutions that support the Authority's business strategy. This position serves as an all-tier support for the agencies Yardi system, including issue documentation, user account and access management, workflow support, and resolution of technical problems. The Analyst will triage, troubleshoot, and resolve software incident; support testing of updates and system changes; and debug reports, queries, and code.
Other essential functions include but are not limited to:
  • Designing, developing, and maintaining operational and management reports, forms, letters, and statistical outputs; ensuring data accuracy through research, validation, and quality control.
  • Analyze and document business process and system workflows; evaluate system efficiency and ensure compatibility of in-house and SaaS applications.
  • Manage test environments and coordinate date refreshes.
  • Create, modify, and maintain SQL queries, scripts, reports, and data imports/exports; monitor system jobs and take corrective action as needed.
  • Develop and update software applications by converting specifications into code, compiling programs, and resolving errors.
  • Providing technical support for application and data-related issues; collaborate with IT team members to troubleshoot and resolve software, database, and system problems.
  • Work with end users to identify, document, and resolve root causes of system or process issues, ensuring timely and effective solutions.
  • Train end users and technical support staff on system functionality, workflow, and best practices.

Pay and Benefits
In compliance with the Equal Pay & Opportunities Act, the full salary range for the Systems and Data Analyst position is $85,020 to $127,530. Starting salary is determined by the required qualifications for the role and the candidate's relevant experience. This is a full-time exempt position working primarily in office Monday through Friday.
We offer a generous contribution toward health care: 100% paid for employees' only medical and vision coverage, 85% paid for dependent tier coverage. 100% paid for dental. Up to 26 days of accrued paid time off annually in the first year (13 vacation/13 sick days), and 12 paid holidays. This position is required to participate in Washington PERS (Public Employee Retirement Services).
Requirements
Knowledge and Attributes
  • Strong understanding of data administration and management functions, including data collection, analysis, and distribution.
  • Ability to improve system business processes using recognized process-improvement techniques.
  • Familiarity with modern database and information-system technologies.
  • Knowledge of program evaluation and outcome-based assessment methods.
  • Ability to work effectively with others, participate as a team member, communicate constructively, and navigate conflict professionally.
  • Skill in analyzing problems, identifying solutions, evaluating alternatives, and implementing recommendations aligned with organizational goals.
  • Ability to perform highly detailed work accurately and efficiently, organize tasks effectively, and work independently despite frequent interruptions.
  • Strong project-planning and organizational skills, with the ability to meet schedules and timelines and work with minimal direction.
  • Proficiency with data-analysis tools and programming languages such as SQL.
  • Experience with database-management systems.
  • Strong analytical and problem-solving abilities.
  • Effective communication skills to explain complex or technical information to non-technical users.
  • Knowledge of modern office procedures, methods, and equipment, including computers and common word-processing and spreadsheet applications.

Job Skills
Technical skills
  • SQL (writing queries, joins, CTWs, optimization)
  • Microsoft Windows and Windows Server Operating Systems
  • Microsoft Azure
  • Cloud Platforms
  • Microsoft 365 Suite
  • Online Exchange
  • Windows Virtual Desktop
  • SharePoint
  • Networking and Security
  • System and Network Configuration
  • Virtualization
  • Backup and Disaster Recovery
  • Technical Documentation
  • Troubleshooting and Diagnostics
  • Monitoring and Performance Optimization
  • Regulatory Knowledge
  • Security Best Practices

Interpersonal & Communication Skills
  • Customer Service
  • Verble and Written Communication
  • Collaboration and Teamwork
  • Problem Solving and Analytical Skills
  • Adaptability
  • Project Management and Organizational Skills

Education and Experience
  • Bachelor's degree in a computer-related field, or MIS, or directly relevant experience can be considered in lieu of the required degree.
  • Four years of demonstrated related work experience. Experience with Microsoft with Microsoft Azure Virtual Desktop; Exchange Online, Office 365; SharePoint, Azure Files Services; Azure Active Directory, Windows Service management, and document management and workflow automation software.
  • Experience administering local and cloud-based computer hardware and telecommunications functions is strongly preferred.
  • Extensive experience in Yardi required.

A combination of relevant education and experience that demonstrates the ability to perform the essential functions of the role may be considered in place of the stated requirements.
Application Requirements
To be considered for this opportunity you must:
  • Complete the online application in its entirety.
  • Upload a cover letter that addresses how your experience qualifies you to perform the essential functions listed in the job announcement.
  • Upload a detailed resume of all educational and professional experience.

Final candidates must provide contact information for a direct supervisor to serve as a professional reference.
For more information on the Vancouver Housing Authority, please visit our website at www.vhausa.org . Please note, those candidates deemed to best meet our requirements will be contacted for an interview.
We do not discuss application status during the selection process.
The Vancouver Housing Authority is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, national origin, disability, or veteran status.