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Entry Level Data Analyst R Programming Jobs in Portland, OR

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

Senior Data Analyst- NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support ... DevOps, and Confluence Apply at www.Nike.com/Careers (Job# R-84913) #LI-DNI We offer a number of ...

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

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

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... engineering and product development teams Requirements and skills Proven experience as a Data ...

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 ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

... data analysis and integration to support AI-driven initiatives - Utilizing programming languages ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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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 Jun 18, 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 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:
Infographic showing various Entry Level Data Analyst R Programming job openings in Portland, OR as of June 2026, with employment types broken down into 2% As Needed, 35% Full Time, 56% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.
Senior Data Analyst

Senior Data Analyst

Nike

Beaverton, OR • On-site

$89K - $112K/yr

Full-time

Posted 21 days ago


Nike rating

7.6

Company rating: 7.6 out of 10

Based on 269 frontline employees who took The Breakroom Quiz

7th of 102 rated fashion retailers


Job description

Senior Data Analyst- NIKE, Inc.- Beaverton, OR. Design, develop, and implement new decision support solutions that help the business leverage data to make informed decisions; assist the business Product Owner with requirements gathering, documentation, and story creation, while taking ownership of data profiling and analysis of raw and curated data; design data flows to intake financial transactions, develop and test complex business rules, and identify and model data against product and customer attribution to support financial optimization and deep analytics; responsible for building the financial analytic capabilities that transform Nike to meet the challenges of a mixed retail and wholesale future; help the business Product Owner create and drive an agile product backlog within the scrum team as together you work to deliver transformational reporting and analysis; and work with the wider product team to drive roadmaps that provide a larger solution viewpoint and align to stakeholder expectations. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a Master's degree in Data Analytics, Data Engineering, or Information Technology and Analytics and 2 years of experience in the job offered or an analyst-related occupation.
Position requires:
• Cloud Data Platforms such as Databricks and Snowflake
• Database systems tools such as SQL Server and Teradata
• Proficiency with the Microsoft SQL Server suite, including SSMS, SSRS, SSAS, and SSIS
• BI Tools like Tableau, Power BI, ThoughtSpot, and Cognos
• ETL Tools such as Tableau Prep, Alteryx, Azure Data Factory, and DAG/Airflow systems
• DevOps tasks like deployment pipelines, automation, and QA to production replication
• Familiarity with AWS services, including EC2, EMR, S3, RDS, and Athena
• Python programming with libraries such as Spark and Pandas
• Familiarity with REST API development
• Knowledge of project management tools like JIRA, Azure DevOps, and Confluence
Apply at www.Nike.com/Careers (Job# R-84913)
#LI-DNI
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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