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Entry Level Data Analyst R Programming Jobs in Portland, OR

Manulife

Carbon Analyst

Vancouver, WA · Hybrid

Apply analytical tools (Excel, GIS, Python/R exposure) to improve workflows and data quality ... Proficiency in Excel and familiarity with programming languages such as Python or R is preferred.

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Experience performing root cause analysis on internal and external data and processes to answer ... Data Engineer role. What's In It For You: * Medical, Dental and Vision insurance for you and your ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Experience performing root cause analysis on internal and external data and processes to answer ... Data Engineer role. What's In It For You: * Medical, Dental and Vision insurance for you and your ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Experience performing root cause analysis on internal and external data and processes to answer ... Data Engineer role. What's In It For You: * Medical, Dental and Vision insurance for you and your ...

Concora Credit Inc.

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Experience performing root cause analysis on internal and external data and processes to answer ... Data Engineer role. What's In It For You: * Medical, Dental and Vision insurance for you and your ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Portland, OR

Entry Level Data Analyst R Programming information

See Portland, OR salary details

$14

$34

$65

How much do entry level data analyst r programming jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for entry level data analyst r programming in Portland, OR is $34.92, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $38.99 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
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 Entry Level Data Analyst R Programming jobs in Portland, OR? For Entry Level Data Analyst R Programming jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Portland, OR look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Portland, OR are:
Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Portland, OR as of July 2026, with employment types broken down into 8% Internship, 78% Full Time, and 14% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.

Data Scientist-Direct Hire-6-Month Register

Criminal Investigation & Law Enforcement | IRS Careers

Portland, OR

$125K/yr

Other

Posted 8 days ago

Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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