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Freelance Data Analyst R Programming Jobs in Oregon

Actuarial Analyst

OR · On-site +1

$56K - $101K/yr

Experience with Excel (pivot tables, formulas, indexing, data analysis) and VBA. Experience with SQL, SAS, Python, or R programming. Location & Schedule : Applicants for this role have the ...

Nanobit, a Stillfront Group studio, is looking for a highly experienced freelance game balancer to ... Continuously refine features and events by combining player feedback, data analysis and AI insights

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

Partner with IT and data engineering teams to improve data infrastructure, data quality, and governance for financial analytics. * Support the adoption of data-driven decision-making across Finance ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Coordinate with Data Platform Engineering team, Enterprise Data Analyst Team, Data Governance Team, and IT. Teams to align with change management processes and to ensure performance, processes and ...

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems ... Build and refine segmentation and clustering models in BigQuery ML, including feature engineering ...

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 ...

Advanced SAS analysis and reporting skills * Prior regulatory submission experience * Thorough ... Familiar with R Programming language * Statistical programming experience in a clinical development ...

OR · On-site

Working closely with Engineering, Product, and client-facing teams, this group ensures that every ... VBA, R, or SPSS; SQL a plus but not a primary requirement - Familiarity with data lake ...

OR · On-site

Scam & ATO Mitigation: Investigate complex fraud cases involving social engineering scams ... Analytical Skills: Proficiency in data analysis using SQL and Python. Ability to connect the dots ...

Showing results 41-60

Freelance Data Analyst R Programming information

What does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

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

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What are the most commonly searched types of Data Analyst R Programming jobs in Oregon?

The most popular types of Data Analyst R Programming jobs in Oregon are:

What are popular job titles related to Freelance Data Analyst R Programming jobs in Oregon?

For Freelance Data Analyst R Programming jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analyst R Programming jobs in Oregon look for?

The top searched job categories for Freelance Data Analyst R Programming jobs in Oregon are:

What cities in Oregon are hiring for Freelance Data Analyst R Programming jobs?

Cities in Oregon with the most Freelance Data Analyst R Programming job openings:

Infographic showing various Freelance Data Analyst R Programming job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Product Analyst, Corporate

YipitData (Alternative)

OR • On-site, Remote

Full-time

Retirement, PTO

Re-posted 9 days ago


Job description

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world's top investment funds to Fortune 500 companies-depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work at YipitData:

YipitData isn't a place for coasting-it's a launchpad for ambitious, impact-driven professionals.

From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

  • Ownership That Matters: You'll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention

If your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you've been waiting for. 

About The Role:

YipitData's Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why-and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape. 

As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Analyst to help deliver high-impact, data-driven products to our Retail clients. 

This is an excellent opportunity for a professional with 4-6 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData. In this role, you will independently manage data quality end-to-end, resolve complex issues across data pipelines and sources, improve category classification and product attribution, collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood and help our clients understand our methodology and data limitations.

This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders.

As a Data Product Analyst at our Retail team, you will:

  • Ramp up quickly to become the primary owner of high-impact data deliverables, driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency
  • Design, maintain, and run comprehensive QA processes to ensure data accuracy and reliability across assigned sector products & client deliverables 
  • Serve as a trusted resource for our clients and internal stakeholders by understanding client needs and aligning them with our data methodologies, limitations, and coverage
  • Independently investigate and resolve complex data quality issues
  • Collaborate cross-functionally with Insights and Engineering to align on best practices to deliver customer value, and develop technical solutions that streamline workflows, optimize data processes, and expand automation
  • Proactively identify opportunities to improve efficiency, robustness, and data quality within your team's workflows, and mentor peers accordingly

You Are Likely To Succeed If:

  • You have 4-6  years of experience in data analytics, data operations, or consulting
  • You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets; Familiarity with Github and Databricks
  • You have experience using sample or panel data to make precise estimates that guide decision-making
  • You have a proven track record of quickly learning new concepts, particularly complex data methodologies
  • You can clearly communicate complex concepts, both orally and in writing
  • You have a strong ownership mentality and are enthusiastic about making a big impact at a rapidly growing company
  • You can manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs
  • You enjoy mentoring peers and raising the quality bar through shared standards and best practices
  • Preferred: Experience supporting market intelligence or data analytics for consumer clients at a consulting or alternative data company, with a strong understanding of their business needs

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual on-target earnings for this position is anticipated to be up to $150K + bonus eligible. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. 

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

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