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Afternoon Data Analyst R Programming Jobs in Eugene, OR

Entegral Financial Analyst

Eugene, OR · On-site

$75K - $90K/yr

Collaborate with product and engineering teams to optimize data structures and standards for data ingestion * Query and analyze large datasets (using SQL) to uncover hidden trends, patterns, and root ...

Senior Biologist

Eugene, OR · On-site +1

$80K - $100K/yr

Manage and analyze field and remote sensing data using GIS, R and other statistical packages. * Work closely with interdisciplinary positions to develop project reports including technical, writing ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Guides students through selecting appropriate statistical tests, using technology for data analysis ... Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and ...

Microsoft Excel Tutor

Eugene, OR · Remote

$18 - $40/hr

... VBA programming. Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing students for business, finance, and data analysis applications. * Conceptual ...

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Facilities Engineer

Junction City, OR · On-site

$80K - $100K/yr

Leverages data analysis, reporting, and visualization tools to identify trends, measure performance ... The Facility Engineer will be a representative of GreenCore Biofuels on site at JCCF and is ...

Bachelor's degree in Supply Chain, Operations, Finance, Engineering, Data Analytics, or related field (or equivalent experience). * 5+ years of SIOP, supply chain, or project management experience in ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Eugene, OR salary details

$34.1K

$83K

$136.6K

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

As of Aug 6, 2026, the average yearly pay for afternoon data analyst r programming in Eugene, OR is $82,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $97,400.00 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 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 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 the most commonly searched types of Data Analyst R Programming jobs in Eugene, OR? The most popular types of Data Analyst R Programming jobs in Eugene, OR are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Eugene, OR? For Afternoon Data Analyst R Programming jobs in Eugene, OR, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Eugene, OR look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Eugene, OR are:
What cities near Eugene, OR are hiring for Afternoon Data Analyst R Programming jobs? Cities near Eugene, OR with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Eugene, OR as of June 2026, with employment types broken down into 4% As Needed, 64% Full Time, 22% Part Time, 3% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,997 per year, or $39.9 per hour.

Entegral Financial Analyst

Enterprise

Eugene, OR • On-site

$75K - $90K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Enterprise rating

6.9

Company rating: 6.9 out of 10

Based on 459 frontline employees who took The Breakroom Quiz

121st of 171 rated vehicle equipment hire


Job description

Overview

Entegral is seeking a motivated, adaptable, career-minded teammate who would like to utilize their skill set in a thriving agile-methodology environment. We offer competitive career advancement opportunities, a comprehensive benefits package and promote a work-life balance. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

ABOUT THE ROLE

The Financial Analyst for Entegral plays a key role in analyzing, evaluating and optimizing our financial and operational performance. Operating at the intersection of finance and data, you will build automated reporting systems, create predictive analysis tools, design financial calculators, and partner with departments across Entegral to help shape our operational and pricing strategies and provide data-backed insights. This role is ideal for a data-driven analytical thinker who thrives on translating complex datasets into actionable strategic recommendations.

ABOUT ENTEGRAL

When you join Entegral, you join a global team united by a shared purpose. Energized by the spirit of start up culture, we continually strive to expand our impact on technology and the communities we serve. We’re founded on people-first values that drive us forward. Creating connections is what we do and that starts with you. Your ambitions. Your career. Your success. Investing in you in a supportive environment where your voice is heard, and you can thrive. With the freedom to explore your potential by creating new opportunities to grow. Along with the resources and stability to support your journey. As an individual, professional and member of your community. We are an organization defined by its people. And together, we all go further.

Entegral is a SaaS business-to-business solution that enhances the customer experience from the moment after an accident to the completion of the claim. We create an integrated software platform that enables communication and collaboration between tens of thousands of collision repair shops, insurance providers and other industry professionals around the world. Owned by Enterprise Mobility, the world’s largest car rental provider and operator of the Enterprise Rent-A-Car® brand, Entegral complements the value of Enterprise’s acclaimed Automated Rental Management System (ARMS®) software by increasing efficiency throughout the claims process.

WHAT WE OFFER

We are a teleworking-first organization with work from home and hybrid employees. Residents of the following United States are invited to apply for work from home opportunities, as these are the locations Entegral has business licenses: AZ, FL, IL, LA, MD, MI, MN, MO, NJ, NV, NY, OH, OR, PA, TN, TX, VA, WA and WI.

At Entegral, we are committed to creating an inclusive environment where all employees can thrive.

The compensation information below is provided in compliance with job posting disclosure requirements in California, Illinois, Maryland, Minnesota, Nevada, New Jersey, New York, and Washington.

Pay Range: [$75,200-90,300]

Actual base pay will depend on varying circumstances, including the position, location, individual qualifications, market finances, and other operational business needs. Depending on the position, compensation may also include bonuses.

Entegral also offers a benefits package including paid vacation, paid parental leave, sick leave, and flex days; medical, dental, and vision insurance benefits; dependent spending account, health savings account, life and disability insurance; fertility benefits, Employee Assistance Programs; profit sharing and 401(k) employer match.

We are committed to a fair and transparent hiring process. Candidates should expect identity verification, video interviews, technical validation of skills, and verification of employment, education, and work authorization. Falsification of information, proxy interviewing, or misrepresentation of experience or location will result in disqualification.

Equal Opportunity Employer/Disability/Veterans

Responsibilities

  • Create and manage financial dashboards using Looker Studio and Big Query
  • Develop methods for calculation and reporting of financial metrics for various departments and teams, determining and evolving data source strategy to meet the needs of the business
  • Develop and maintain financial models to forecast future performance, assess different scenarios, and identify potential risks and opportunities.
  • Prepare detailed reports and presentations on findings, analysis, and recommendations for stakeholders and senior management.
  • Collaborate with product and engineering teams to optimize data structures and standards for data ingestion
  • Query and analyze large datasets (using SQL) to uncover hidden trends, patterns, and root causes of business problems.
  • Translate technical data findings into actionable strategic recommendations for non-technical leadership and department leads (Sales, Product, Finance, Operations etc).
  • Work with Product and Sales departments to develop pricing strategies for Entegral products
  • Leverage AI and modern analytics framework to design and maintain interactive financial tools, calculators and scenario models.
  • Evaluate product profitability and vendor cost structures, building analytical models to assess pricing changes and identify margin improvement opportunities across the business.
  • Create financial presentations for Executive Leadership Team
  • Serve as a project manager for various company wide projects

Qualifications

Required:

  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must be located in AZ, FL, IL, LA, MD, MI, MN, MO, NJ, NV, NY, OH, OR, TN, PA, TX, VA, WA or WI
  • Must be able to travel and attend in-person meetings, training, and business events at company offices and other U.S. locations, including Madison, WI and St. Louis, MO, up to 2–4 times per year as required
  • Must be minimum 18 years of age
  • For remote or full remote work-from-home positions, reliable high-speed internet, a dedicated professional workspace, and a functioning webcam are required. This position operates in a camera-on, video-first environment, and regular video participation is a condition of employment
  • Bachelor's Degree in Business, Finance or Data Science or equivalent
  • 4+ years of professional work experience in Data or Financial Analytics including:
  • Understanding financial data and translating it into actionable strategies
  • Experience in data pipelines, SQL, machine learning and visualization
  • Interpreting analytics and metrics
  • Building metric dashboards, pricing tools or methods of calculation
  • Intermediate level proficiency or higher in Excel
  • Professional work experience with cloud data warehouses (i.e. Big Query, Snowflake or similar)

Preferred:

  • Experience working in Accounting or Finance for a SaaS company
  • Google Suite Experience (Looker Studio, Google Sheets)
  • AI Experience

Qualified Candidates Should Also Possess:

  • Strong analytical skills
  • Strong attention to detail
  • Ability to maintain confidential information
  • Strong time management and organizational skills
  • Exceptional communications both verbal and written
  • Strong sense of initiative, requiring little direct supervision
  • Strong understanding of accounting policies and rules
  • Ability to maintain confidential information

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