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Remote Data Analyst R Programming Jobs in Remote, OR

AWS Data Engineer Snowflake

OR · Remote

$117K - $140K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Senior Field Applications Engineer

OR · Remote

$85K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deliver on-site and remote technical training sessions to customer process, equipment, and ... Conduct data collection, analysis, and reporting to support customer process health reviews and ...

Senior Field Applications Engineer

OR · On-site +1

$85K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Deliver on-site and remote technical training sessions to customer process, equipment, and ... Conduct data collection, analysis, and reporting to support customer process health reviews and ...

... Data Analyst, and AI-enabled developer. This person should be comfortable moving from executive ... Benefits Bonus Structure #LI-Remote What to Expect Next Requisition #: 343205 Life at Lumen Life at ...

New

Revenue Operations Lead - 100% Remote

OR · On-site +1

$140K - $170K/yr

  • Life

  • Retirement

  • PTO

Data & Reporting - Build dashboards and analytics in HubSpot (and adjacent tools like Sheets ... including prompt engineering, agent design, and integrating LLMs into business workflows.

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

  • Medical

  • Life

Performs basic network inventory data corrections, data analysis, and redlining Performs ticket ... Benefits Bonus Structure #LI-Remote Requisition #: 342360 Life at Lumen Life at Lumen is human and ...

Fully remote, start as soon as possible. Duration and weekly hours are flexible and scale with ... Continuously refine features and events by combining player feedback, data analysis and AI insights

Sr. Business Analyst, Reinsurance

OR · On-site +1

$86K - $112K/yr

Location - US or Canada, Remote Position Summary: The Senior Business Analyst operates under ... The BA will make recommendations to improve business processes, utilize systems and data to resolve ...

Sr. Business Analyst, Reinsurance

OR · Remote

$94K - $122K/yr

Location - US or Canada, Remote Position Summary: The Senior Business Analyst operates under ... The BA will make recommendations to improve business processes, utilize systems and data to resolve ...

Sr Analyst, Cloud Services (United States (Remote), US)

OR · On-site +1

$82K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provides operational data support for internal and external customers. * Writes complex SQL queries to analyze data and generate, monitor, and maintain informational reports. * Validates data ...

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Benefits Bonus Structure #LI-Remote #LI-KM2 Requisition #: 342668 Life at Lumen Life at Lumen is ...

Salesforce Engineer

OR · On-site +1

$52 - $69/hr

This is a FULLY REMOTE EXEMPT position. MUST BE U.S. CITIZEN/NON-DUAL CITIZENSHIP Duties and ... data modeling. * Excellent oral and written communications. * Superior analytical and problem ...

Senior Lead Cloud Engineer

OR · Remote

$132K - $176K/yr

  • Medical

  • Life

Proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau) * Familiarity ... Benefits Bonus Structure #LI-Remote #LI-ZM1 Requisition #: 342644 Life at Lumen Life at Lumen is ...

Remote (US) Sapiens is on the lookout for a Pre-Sales Engineer, WC to become a key player in our ... Work with Product Strategy to perform market analysis to enhance the demo environments as per ...

Showing results 21-40

Remote Data Analyst R Programming information

See Remote, OR salary details

$34K

$82.6K

$135.9K

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

As of Aug 19, 2026, the average yearly pay for remote 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 is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

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 Remote Data Analyst R Programming jobs in Remote, OR?

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

What cities near Remote, OR are hiring for Remote Data Analyst R Programming jobs?

Cities near Remote, OR with the most Remote Data Analyst R Programming job openings:

Infographic showing various Remote Data Analyst R Programming job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,559 per year, or $39.7 per hour.

Principal Supply Chain Data Engineer & Analytics Lead

Bausch + Lomb

OR • On-site, Remote

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Bausch & Lomb rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

21st of 540 rated manufacturers


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.
Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.
The Principal Supply Chain Data Engineer and Analytics Lead is a critical role responsible for building the data foundation, analytics capabilities, and insight-generation engine required to support Bausch + Lomb's supply chain transformation. This role will partner closely with to extract, connect, structure, analyze, and visualize complex supply chain data across enterprise systems.
This role is designed for a highly analytical, business-oriented data professional who can operate across both technical and commercial dimensions. The individual will help convert large volumes of fragmented operational data into actionable insights, predictive analytics, and decision-support tools that improve service, cost, quality, inventory, productivity, and end-to-end supply chain performance.
The successful candidate will bring strong data engineering and supply chain analytics capabilities, preferably with consulting experience or experience working in transformation-oriented environments. This role will support quantitative and commercial decision-making by developing reliable data pipelines, dashboards, analytical models, predictive tools, and AI-enabled insights that help identify opportunities, quantify value, and drive execution across the supply chain network.
Success in this role will be measured by the ability to improve data availability, accelerate insight generation, strengthen forecasting and operational decision support, improve analytics quality, and enable measurable business outcomes across logistics, planning, warehousing, inventory, and customer fulfillment processes.
Key responsibilities
  • Develop and maintain supply chain data models, pipelines, and data structures that enable consistent reporting, analytics, and decision support across logistics, planning, inventory, warehousing, and fulfillment processes.
  • Extract, transform, and integrate data from ERP, MRP, DRP, WMS, WCS, TMS, planning, finance, and other enterprise systems to create reliable analytical data sets.
  • Design and deliver dashboards, scorecards, visualization tools, and management reporting that translate complex data into clear business insights and recommended actions.
  • Analyze large, complex, and often fragmented data sets to identify patterns, root causes, risks, opportunities, and improvement levers across the end-to-end supply chain.
  • Develop predictive analytics, simulation tools, optimization models, and AI-enabled use cases that support service, cost, quality, inventory, and capacity decision-making.
  • Support opportunity funnel development by quantifying savings opportunities, operational impacts, customer service implications, and commercial trade-offs.
  • Create analytical tools that support decisions related to network performance, warehouse productivity, transportation cost, inventory positioning, demand and supply variability, and service performance.
  • Translate technical analysis into executive-ready insights, business cases, and recommendations that support transformation governance and leadership decision-making.
  • Collaborate with IT and data architecture teams to improve data accessibility, governance, automation, scalability, and long-term sustainability of analytics solutions.
  • Contribute to continuous improvement by identifying opportunities to simplify, standardize, automate, and scale supply chain analytics and reporting processes.

Requirements:
  • Bachelor's degree in supply chain management, Engineering, Data Science, Computer Science, Information Systems, Business Analytics, Operations Research, Finance, or a related discipline.
  • 5+ years of progressive experience in supply chain analytics, data engineering, business intelligence, operations analytics, consulting, or a related field.
  • Demonstrated ability to work with complex operational data and convert large data sets into business insights, decision-support tools, and executable recommendations.
  • Experience extracting, transforming, validating, and analyzing data from ERP systems and other supply chain platforms.
  • Strong understanding of end-to-end supply chain processes, including demand planning, supply planning, MRP, DRP, warehousing, distribution, transportation, inventory, and customer fulfillment.
  • Strong analytical, quantitative, and problem-solving skills with the ability to conduct commercial and operational decision-making analysis.
  • Ability to partner effectively with various functions
  • Strong communication skills with the ability to explain complex data, models, assumptions, and insights to technical and non-technical audiences.
  • Ability to manage multiple priorities, work through ambiguity, and deliver high-quality analytics in a fast-paced transformation environment.

Specialized Training & Skills:
  • Advanced capability with SQL, Python, R, Alteryx, Power Query, or similar data extraction, transformation, and analytics tools.
  • Strong visualization and dashboard development experience using Power BI, Tableau, Qlik, or comparable business intelligence platforms.
  • Knowledge of ERP systems and supply chain data structures, including master data, transactions, inventory, orders, production, procurement, warehousing, and logistics data.
  • Experience building predictive models, forecasting tools, optimization models, simulation analyses, machine learning use cases, or AI-enabled decision-support solutions.
  • Ability to connect operational performance metrics with financial and commercial implications, including cost, margin, service, inventory, productivity, and working capital impacts.
  • Strong data quality, data governance, data validation, and data storytelling capabilities.
  • Experience documenting business requirements, data logic, metric definitions, assumptions, and model outputs for repeatable use across stakeholders.
  • Familiarity with Lean Six Sigma, structured problem solving, process mapping, or consulting-style analytics frameworks preferred.

Preferred Skills and Experience:
  • Experience with a consulting firm, internal consulting group, transformation office, supply chain excellence team, or advanced analytics organization.
  • Experience in medical device, pharmaceutical, healthcare, consumer health, manufacturing, or other regulated supply chain environments.
  • Experience supporting logistics transformation, warehouse optimization, inventory analytics, planning improvement, network analysis, or service-cost-quality improvement initiatives.
  • Working knowledge of SAP, Oracle, Kinaxis, Blue Yonder, Manhattan, HighJump/Korber, SAP EWM, Dematic, or other ERP, planning, WMS, WCS, or supply chain execution platforms.
  • Certification or advanced training in data analytics, data engineering, supply chain management, Lean Six Sigma, APICS CPIM/CSCP, project management, or AI/ML preferred.

This position may be available in the following location(s): U.S. - Remote
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
For U.S. locations that require disclosure of compensation, the starting pay for this role is between $145,000.00 and $165,000.00. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.
U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.
Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.
To learn more please read Bausch + Lomb's Job Offer Fraud Statement.
Our Benefit Programs: Employee Benefits: Bausch + Lomb
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.

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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853