2

Remote Data Analyst R Programming Jobs in Spokane, WA

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

This is a remote position, but if you're near one of our local offices, you're welcome to come ... As a Senior Data Engineer at Corporate Tools, you will work closely with our Software and Analyst ...

Senior iOS Developer

Spokane, WA · Remote

$60.75 - $78.50/hr

Our team is looking for an experienced Senior iOS developer who who is also comfortable working ... Experience working with remote data via REST * Experience with third-party libraries and APIs

... on programming tasks that include creating and solving challenging coding problems, building ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Quantitative Analyst

Spokane, WA · On-site +1

$88.66K - $104.30K/yr

You are proficient in at least one programming language, such as R. * You have experience ... with time‑series and panel data analysis. * You are familiar with linear and nonlinear ...

Quantitative Analyst

Spokane, WA · On-site +1

$88.66K - $104.30K/yr

You are proficient in at least one programming language, such as R. * You have experience ... and panel data analysis. * You are familiar with linear and nonlinear generalized linear mixed ...

SEO Analyst

Post Falls, ID · On-site +1

$85K/yr

This is a remote position. Our main office is in Spokane, WA, and we have satellite offices in ... Collaborate with data engineers to refine and validate tracking mechanisms and ensure clean ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

DevOps Engineer

Spokane Valley, WA · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

... remote work and the freedom to set your own schedule. This role is designed to fit a variety of ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DevOps Engineer

Spokane, WA · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Treasury Analyst

Spokane, WA · Remote

$40 - $60/hr

... remote work and the freedom to set your own schedule. This role is designed to fit a variety of ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Software Engineer

Spokane, WA · Remote

$40 - $75/hr

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

next page

Showing results 1-20

Remote Data Analyst R Programming information

See Spokane, WA salary details

$34.4K

$83.6K

$137.5K

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

As of May 31, 2026, the average yearly pay for remote data analyst r programming in Spokane, WA is $83,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

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

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

Senior Energy Portfolio Analyst

ROI Agency

Spokane, WA • Remote

Full-time

Posted 23 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.