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Afternoon Data Analyst R Programming Jobs in Eugene, OR

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 ...

Programming, using a wide variety of languages and platforms such as LabVIEW, Python, VBA, VB, C (C ... HMI - Rockwell, Siemens, Codesys (Beckhoff, B&R, Bosch). Maple Systems, Wonderware, Inductive ...

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Analyze compliance data to identify trends, risks, gaps, and opportunities for improvement

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Analyze compliance data to identify trends, risks, gaps, and opportunities for improvement

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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 ...

Civil Engineering Tutor

Eugene, OR · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design project guidance to support undergraduate civil engineering students from introductory courses ...

Biostatistician

Eugene, OR · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

SQL Tutor

Eugene, OR · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar with SQL ...

ChatGPT Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

... engineering, or a fast-moving startup role is highly preferred * Strong product instincts: you think about users, flows, and edge cases naturally * Data fluency - comfortable reading analytics ...

Showing results 41-60

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 24, 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 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 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.

Reliability Engineer - US Remote (West)

Hexion

Springfield, OR • On-site

$110 - $140/hr

Other

Posted 12 days ago


Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

74th of 100 rated chemical manufacturers


Job description

Imagine Everything. Build the Future with Hexion.

At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.

This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.

We don’t follow the status quo—we challenge it, disrupt it, and improve it.Every role at Hexion is part of something bigger.

We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.

Your Future Starts Here.

If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.

Anything is possible when you imagine everything.

Role Impact

Alternate Titles : Network Reliability Engineer | Plant Reliability Engineer | Maintenance & Reliability Engineer

The Reliability Engineer is an individual contributor on a centralized reliability team supporting a network of small manufacturing plants across North America. This role drives the transition from reactive maintenance to a proactive, data-driven reliability culture by leading bad actor elimination, root cause analysis, and preventive/predictive maintenance improvement across multiple sites.


This position directly contributes to reduced unplanned downtime and improved asset performance by identifying the top failure drivers at each site, facilitating root cause analysis, and embedding sustainable reliability practices into the maintenance work management process. The Reliability Engineer serves as a key point of technical leadership and cross-site learning — replicating proven solutions across the plant network to prevent recurring failures and closing the loop between reliability data and executed work.

What You Will Do
  • Pull and review downtime, failure, and repeat-work data from each site to identify the top 3–5 bad actors by highest loss or repeat failure
  • Focus reliability efforts on the largest sources of unplanned downtime, transitioning sites from reactive to controlled, planned maintenance
  • Monitor the effectiveness of corrective actions and system modifications to confirm sustained reliability improvement

Lead Asset Criticality Assessment & Ranking

  • Establish and maintain an asset criticality register across the plant network, ranking equipment by the safety, environmental, operational, and financial consequences of failure
  • Facilitate cross-functional criticality workshops with site operations, maintenance, and HSE to calibrate rankings and ensure a consistent, defensible standard across all sites
  • Use criticality rankings to prioritize maintenance strategy, PM coverage, spare parts stocking, and bad actor focus — directing limited central resources to the highest-consequence assets first
  • Periodically review and update criticality rankings as equipment, processes, and failure data change

Lead Root Cause Analysis & Failure Elimination

  • Lead or facilitate lightweight root cause analysis (RCA) for top bad actors and recurring failures
  • Determine the failure mode — design, operation, maintenance practice, or PM gap — and develop lasting corrective actions
  • Conduct Failure Mode and Effects Analysis (FMEA) to proactively identify and mitigate potential equipment failures before they occur

Develop Preventive & Predictive Maintenance Strategies

  • Audit PM compliance and lubrication routes per site; flag gaps and update PM frequencies based on failure data
  • Lead lubrication excellence initiatives including lubrication strategy development, route optimization, contamination control, lubricant selection, storage and handling standards, lubrication PM optimization, and lubrication KPI tracking.
  • Apply predictive and condition-based maintenance techniques (e.g., vibration analysis, thermal imaging, ultrasonic testing) to anticipate failures and extend asset life
  • Apply Reliability-Centered Maintenance (RCM) principles to determine the optimal maintenance strategy for critical assets

Translate Reliability Actions into Executable Work

  • Assign corrective actions to the Site Reliability Owner or Local Work Owner and enter PM changes and job plan updates into the CMMS
  • Feed bad actor corrective actions into the weekly scheduling backlog to close the loop from data to execution
  • Maintain reliability data quality in the CMMS — asset hierarchy, failure codes, and work-order history — so criticality, bad actor, and KPI analysis rest on accurate data
  • Participate in weekly planning and scheduling reviews to ensure reliability actions, bad actor corrective work, PM improvements, and failure elimination activities are properly prioritized, planned, and scheduled for execution.
  • Share repeat failure patterns across the plant network and replicate proven solutions to prevent recurrence at other sites
  • Apply reliability engineering principles and best practices consistently across sites, projects, and processes
  • Support standardization of reliability processes, tools, and the monthly reliability cadence across the network

Build Site Reliability Capability & Culture

  • Train and coach Site Reliability Owners, Local Work Owners, and technicians on reliability fundamentals — defect identification, basic equipment care, and quality failure reporting — building lasting capability at each site
  • Champion the shift from reactive to proactive reliability, reinforcing planned-over-reactive work and data-driven decision-making across the network
  • Promote operator-driven reliability and basic-care routines so frontline teams catch early warning signs before they become failures

Track Performance & Report Results

  • Monitor key reliability KPIs — Mean Time Between Failures (MTBF), Mean Time To Repair (MTTR), asset availability, planned vs. reactive work ratio, and repeat failure rate per site
  • Apply statistical and life-data analysis (e.g., Pareto and Weibull) to quantify failure risk, set maintenance intervals, and prioritize improvement effort
  • Report reliability trends and improvement results to Maintenance Managers and Corporate Leadership
  • Establish and maintain data and records for tracking performance failures and improvement measures

Support Asset Lifecycle & Continuous Improvement

  • Support asset lifecycle management and life-cycle cost analysis to guide repair, replace, or redesign decisions
  • Analyze maintenance data to optimize spare parts inventory for critical components while controlling cost
  • Apply design-for-reliability principles to new installations and equipment modifications — setting reliability and maintainability specifications, supporting commissioning, and providing reliability input to the Management of Change (MOC) process
  • Ensure reliability activities align with site safety, environmental, and regulatory standards
What You Bring

Required Qualifications

  • Bachelor’s degree in Mechanical, Electrical, Industrial, or a related Engineering discipline (or equivalent technical experience)
  • Experience in reliability, maintenance, or engineering within an industrial or manufacturing environment
  • Working knowledge of reliability methodologies — root cause analysis (RCA), FMEA, and preventive and predictive maintenance
  • Strong analytical and problem-solving skills, with the ability to interpret failure and downtime data
  • Strong communication and collaboration skills to work effectively across multiple sites and functions
  • Willingness to travel across the plant network as required

Preferred Qualifications

  • Certified Maintenance & Reliability Professional (CMRP) or Certified Reliability Engineer (CRE) certification
  • Experience with predictive/condition-monitoring technologies (vibration analysis, thermal imaging, ultrasonic testing) and lubrication programs
  • Familiarity with Reliability-Centered Maintenance (RCM) and Total Productive Maintenance (TPM)
  • Experience performing asset criticality assessments and risk-based prioritization
  • Experience supporting multiple sites or a multi-plant network
  • Proficiency with statistical analysis tools and reliability KPIs (MTBF, planned vs. reactive ratio, repeat failure rate)
  • Experience leading cross-functional reliability or continuous improvement initiatives
  • Experience developing training or capability-building programs for site maintenance and operations teams
  • Familiarity with process safety management (PSM) and mechanical integrity requirements in a chemical or process manufacturing environment
Legal & Employment Notices

We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.

To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

This job description outlines the general nature and key responsibilities of the role but is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Job duties may change based on business needs. Nothing in this job description creates a contract of employment, express or implied.

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