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Remote Data Analyst R Programming Jobs (NOW HIRING)

The Data Analyst plays an essential role in supporting data gathering, analysis, and report ... Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.

This position is fully remote. Duties & Responsibilities The Data Analyst (Reporting) will ... Perform ad hoc analyses to support operations, engineering, and leadership decision-making.

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ...

... engineering teams, and mission stakeholders. The Data Scientist (Analytics) develops robust ... This position is fully remote. Duties & Responsibilities The Data Analyst (Analytics) will:

Data Entry Specialist / Data Analyst

$17.50 - $23.25/hr

About the job Data Entry Specialist / Data Analyst Data Entry Specialist / Data Analyst We are ... If you are looking for a part time remote work from home job, this is a great position for earning ...

Sr Data Analyst

Ankeny, IA · On-site +1

$80K - $101K/yr

... SQL, R, Power BI, and related Microsoft Fabric capabilities. Remote hires will be required to ... Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements ...

... for remote and client speed test application in Lab environment. • Test DNS, DHCP, static and ... Knowledge of R, Python, RappidMinner and other programming languages for data analysis and ...

Sr Data Analyst

Ankeny, IA · Remote

$80K - $101K/yr

... SQL, R, Power BI, and related Microsoft Fabric capabilities. Remote hires will be required to ... Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements ...

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Sr Data Analyst

Ankeny, IA · Remote

$88K - $111K/yr

... SQL, R, Power BI, and related Microsoft Fabric capabilities. Remote hires will be required to ... Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements ...

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

... programming tools (SQL, R, Python, etc.) - Experience with product and marketing analytics and ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours Position Type: Full-Time, ... Clean, structure, and transform data using Python, R, or Excel * Perform variance analysis (actual ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... This is a remote role that is part of the Finance department and reports to the Director of Data ...

If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ... Lead metric alignment conversations with Data, Product, and Engineering; represent Support ...

Showing results 41-60

Remote Data Analyst R Programming information

See salary details

$34K

$82.6K

$136K

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

As of Aug 12, 2026, the average yearly pay for remote data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field due to its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

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 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.

Are remote data analysts in demand?

Remote data analysts, including those skilled in R programming, are in high demand due to the increasing reliance on data-driven decision making across industries. Companies seek professionals with strong analytical skills, proficiency in tools like R and SQL, and the ability to work independently in virtual environments, leading to a growing job market for remote roles.
More about Remote Data Analyst R Programming jobs
What cities are hiring for Remote Data Analyst R Programming jobs? Cities with the most Remote Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Remote Data Analyst R Programming jobs? States with the most job openings for Remote Data Analyst R Programming jobs include:
What job categories do people searching Remote Data Analyst R Programming jobs look for? The top searched job categories for Remote Data Analyst R Programming jobs are:
Infographic showing various Remote Data Analyst R Programming job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Full-time

Re-posted 25 days ago


Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Functional Data Analystfor one of our client, Please share your resume with current location & full contact info
Role: Functional Data Analyst
Location:Remote
Duration: Long term
JOB DESCRIPTION
We are looking for a data analyst who can help drive business intelligence efforts and support the growth of the Business Process and Finance teams. This role provides an opportunity to solve the company's most interesting problems and develop new business strategies.
• Regularly mine data from large SQL databases
• Build models that lead to better insights and business understanding.
• Design and maintain reports/dashboards and track and communicate key performance indicators.
• Assure quality and data integrity for revenue and business development.
• Build logical and physical data models with Facts and dimensions, aggregates in Snowflake.
• Interact with data source owners and participate in developing project plans.
• Provide original insights beyond the scope of supporting reactive requests.
• Support ongoing analysis of business performance trends and insights required to inform decisions.
• Design and build new dashboards to monitor performance metrics; maintain existing dashboards for accuracy and incorporate changes in the business.
• Build a strong relationship with data engineering to understand data availability, accuracy, and consistency; comfortable providing specifications for data tracking and data warehouse needs.
• Proactively perform data exploration to discover actionable insights.
• Present your research and insights to all levels of the company clearly and concisely.
• Collaborate with IT team and other cross functional systems teams during design and support implementation of business solutions.
• Responsible for designing, monitoring, measuring, and improving the quality of master data.
Qualifications
• Experience in data architecture, data modelling, designing and data analysis with conceptual, logical, and physical modelling for OLAP and Snowflake data warehousing.
• Experience in Normalization of OLTP an denormalization of entities for Snowflake Data warehousing
• Experience ins Data governance and master data management
• Experience in SQL, PL/SQL packages, functions, stored procedures, triggers
• Experience in BI/DW solutions (ETL, Data mart, OLAP) and BI reporting tools like Tableau.
• Exposure to Oracle Fusion Cloud and SFDC functional areas
• Exposure to Statistics, Econometrics, Data Science, and Machine Learning concepts and tools.
• Engineering/technical background analyzing large data sets.
• 5+ years of analytical experience and comfortable working with large data sets Excellent programming logic with comprehension of at least one scripting language (i.e., Python, javascript, C++, R, etc.)
• Experience as an analyst in the following areas: finance, accounting, QTC and non-QTC
• Extensive experience with SQL is critical; additional experience with BI & visualization tools is a strong plus (i.e., Qlik, Tableau, Looker)
• Comfortable working with MS Excel and MS PowerPoint
• Must be intellectually curious, eager to learn, self-motivated, detail-oriented, and able to multi-task
• Able to operate with openness and efficiency with one or more SDLC methodologies (e.g., Scrum)
• Strong communication skills and ability to work collaboratively with cross-functional teams
With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com