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Afternoon Data Analyst R Programming Jobs in Remote, OR

... their data, we make it happen. All it takes is finding the right combination of tech hardware ... Partners with Business Analysts, ServiceNow Administrators, and Developers to produce technical ...

... their data, we make it happen. All it takes is finding the right combination of tech hardware ... Partners with Business Analysts, ServiceNow Administrators, and Developers to produce technical ...

The Lead BA will make recommendations to improve business processes, utilize systems and data to ... Works as the liaison between client stakeholders, project team members, software engineers and ...

Sr. Business Analyst, Reinsurance

OR · Remote

$86.70K - $112.10K/yr

The BA will make recommendations to improve business processes, utilize systems and data to resolve ... Works as the liaison between client stakeholders, project team members, software engineers and ...

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Infrastructure Engineer

OR · Remote

$100K - $200K/yr

... analysis, and resolution (e.g., handling high concurrency and massive data processing). * 3+ years ... programming language (such as Python, Go, or Rust) with strong coding fundamentals. * Solid ...

Solutions Integration Architect

OR

$66.25 - $85.50/hr

... analyze, and extract key data from heterogeneous systems. This role works closely with a wide variety of customers from senior project managers to developers, business units within L+G and the ...

OSP Engineer

Coos Bay, OR · On-site

$30/hr

... estimating, analyzing, designing, planning, budget tracking estimates against actual costs for ... Ability to identify existing voice/data plant, electric, and other utilities on the site plans as ...

CMMC Compliance Analyst

OR · Remote

$105.79K - $141.05K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Collaborate with system owners, engineers, and ISSOs to ensure proper control implementation and ...

Senior Lead Cloud Engineer

OR · Remote

$132.23K - $176.31K/yr

... as FinOps engineer * Strong understanding of cloud platforms and pricing models * Deep ... Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau) * Familiarity ...

OSP Engineer

Coos Bay, OR · On-site

$30/hr

... estimating, analyzing, designing, planning, budget tracking estimates against actual costs for ... Ability to identify existing voice/data plant, electric, and other utilities on the site plans as ...

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Machine Learning Engineer

OR · Remote

$100K - $200K/yr

... Machine Learning R&D. * Proficiency in Machine Learning and NLP techniques and tools ... Strong analytical and problem-solving skills, adept at identifying and addressing bottlenecks for ...

Design and implement systems to collect, analyze, and leverage IT telemetry data and logs (using ... Python Programming * Dialogflow (CX/ES), Agent Builder , Conversational Agents * Google Cloud ...

Solution Designer

OR · On-site +1

You will support the Project during all phases of Sales Engineering * You will analyze customer data (working in conjunction with an in-house analyst) to determine system requirements in terms of ...

New

Bachelor's degree in business administration, data analytics/engineering, economics, or related field. Master's degree or MBA preferred * 7+ years in business transformation within food and beverage ...

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... to perform data analysis - Resolving data enrollment issues on a daily basis - Having exceptional time management and healthcare client management skills - Strong project management and ...

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Afternoon Data Analyst R Programming information

See Remote, OR salary details

$34K

$82.6K

$135.9K

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

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

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

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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Remote, OR? The most popular types of Data Analyst R Programming jobs in Remote, OR are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Remote, OR? For Afternoon Data Analyst R Programming jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Remote, OR look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Remote, OR are:
What cities near Remote, OR are hiring for Afternoon Data Analyst R Programming jobs? Cities near Remote, OR with the most Afternoon Data Analyst R Programming job openings:

Other

Medical, Retirement, PTO

Posted 17 days ago


Job description

IntroductionBe part of the team that drives our company forward, transforming ideas into real-world tools and platforms that support the business and spur innovation.

OverviewWhat We Do:
We calm the confusion of IT by guiding the connection between people and technology. If a customer is looking for a better way to manage their warehouse inventory, equip their workforce, or secure their data, we make it happen. All it takes is finding the right combination of tech hardware, software, cloud solutions, and support services. That’s what we do. We’re the IT Department’s IT Department.
Who We Are:
Our team is made stronger by a multitude of backgrounds, experiences, and perspectives. It’s what makes Connection unique—what drives us to innovate and create technology solutions that stand apart from the crowd. We’d love for you to be a part of that fabric, to share your ideas and experiences with a team that thrives on fresh thinking, creativity, and helping others.
Why You Should Join Us:
You’ll find supportive teammates and a rewarding career at Connection—plus great benefits. We take pride in supporting employees with a total rewards package that provides financial, emotional, and physical resources for you and your family. Our compensation, 401k plans, medical insurance, and other benefits are progressive and competitive. We value the importance of our employees’ emotional well-being. To support employees, we provide free therapy visits, mental health coaching and tools, and meditation resources. You’ll also enjoy a generous paid time off package that includes not only vacation and care time, but also Wellness and Volunteer Time Off days.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Responsibilities

  • Designs business-focused solutions in ServiceNow to ensure systems meet requirements, are efficient, effective, and scalable in support of organizational goals.
  • Partners with Business Analysts, ServiceNow Administrators, and Developers to produce technical specifications, support testing, and develop internal implementation plans.
  • Leads or participates in discovery calls and workshops as a ServiceNow subject matter expert to identify business needs and define, redesign, and improve internal processes.
  • Conducts gap analysis, documents current state and to-be state, and provides thought leadership to advise stakeholders on leveraging ServiceNow’s capabilities to improve business operations.
  • Manages, documents, and communicates system requirements to the delivery team to ensure proposed solutions and implementations meet stakeholder expectations.
  • Keeps abreast of ServiceNow technology to stay up to date with the latest ServiceNow features, updates, and trends to inform practice direction.
  • Reviews ServiceNow technical literature.
  • Attends meetings and training opportunities.
  • Performs all other duties or special projects as assigned.

Requirements

  • Minimum 3 years of experience in process definition, developing system requirements, documentation, and project artifacts.
  • Proven analyst experience across a range of ServiceNow modules including Field Service Management, Customer Service Management, Technology Provider Service Management, Project Portfolio Management, IT Service Management, and Hardware Asset Management.
  • Proven experience leading workshops, discovery calls, gathering and documenting requirements, and influencing decision makers at senior levels.
  • Ability to provide technical guidance across stakeholders while working closely with delivery teams.
  • Understanding of ServiceNow modules, integrations, capabilities, and platform technologies.
  • Strong organizational and time management abilities with a track record of communicating complex ideas effectively across a large organization.
  • Excellent problem-solving skills and ability to analyze complex business requirements.