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Remote R Programmer Jobs in Spokane, WA (NOW HIRING)

ROI Agency

Senior Energy Portfolio Analyst

Spokane, WA · Remote

... days remote) Work Authorization: U.S. Citizenship required Overview The Senior Energy Portfolio ... Experience working with programming or data tools such as Python, R, SQL, or similar. * Experience ...

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How much do remote r programmer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote r programmer in Spokane, WA is $125,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $141,100.00 per year, depending on experience, location, and employer.

What is a Remote R Programmer job?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

What are the key skills and qualifications needed to thrive in the Remote R Programmer position, and why are they important?

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What does a typical day look like for a Remote R Programmer?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.
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Senior Energy Portfolio Analyst

ROI Agency

Spokane, WA • Remote

Full-time

Posted 22 days ago

Job description

Senior Energy Portfolio Analyst

Job type: Full-Time, direct-hire, hybrid onsite

Schedule: 4X10 schedule, Monday through Thursday (2 days on site, 2 days remote)

Work Authorization: U.S. Citizenship required


Overview

The Senior Energy Portfolio Analyst is responsible for performing complex analytical work to support energy portfolio strategy and planning. This position focuses on building and refining models used to guide resource planning, procurement strategies, and compliance efforts. The role plays a key part in ensuring a balanced energy portfolio that meets reliability, cost, and sustainability objectives while supporting long-term planning and risk mitigation.


Core Responsibilities

  • Design, update, and manage long-range analytical models used to assess portfolio performance, including cost, reliability, and risk considerations across generation resources.
  • Conduct analysis of potential energy resources, including renewables, storage solutions, demand-side programs, and market-based options.
  • Support portfolio risk assessment through forecasting and scenario modeling to inform long-term planning initiatives.
  • Partner with internal teams such as finance, pricing, and operations to ensure alignment between analytical insights and business objectives.
  • Provide data-driven insights to support commercial activities and market participation within defined risk guidelines.
  • Maintain clear and organized documentation of modeling approaches, assumptions, and outputs to support transparency and auditability.
  • Improve and standardize analytical processes, tools, and workflows to enhance consistency and efficiency.
  • Create reports, dashboards, and visual tools to communicate key findings related to performance, forecasts, and risk exposure.
  • Present analytical results and recommendations to stakeholders, both technical and non-technical.
  • Stay aligned with applicable regulatory requirements, internal policies, and industry standards.


Preferred Qualifications

  • Familiarity with industry modeling or simulation platforms.
  • Experience working with programming or data tools such as Python, R, SQL, or similar.
  • Experience using data visualization platforms such as Power BI, Tableau, or equivalent.


Additional Skills and Competencies

  • Strong capability in quantitative analysis and model development.
  • Advanced Excel skills and proficiency with modern data analysis tools.
  • General understanding of energy markets, infrastructure systems, or comparable industries.
  • Awareness of regulatory frameworks and compliance considerations within relevant sectors.
  • Experience with financial analysis, forecasting, or risk modeling techniques.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Strong written and verbal communication skills, with the ability to convey complex information clearly.

Requirements:

Required Qualifications

  • Bachelor’s degree in a relevant discipline such as Engineering, Mathematics, Business, or Computer Science (or equivalent practical experience).
  • At least two years of experience in analytical roles related to energy systems, utility analysis, power supply, resource planning, or similar fields.