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Remote Data Analyst R Programming Jobs in Phoenix, AZ

Dutchbros

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Strong problem-solving, analytical, and critical-thinking skills with a focus on business insights ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

... analytics, data migration, and operational decision-making. This role works within established ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

YO AI Labs

AI Consulting Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Analytical Reasoning * Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical ... Data Interpretation * Data Annotation * Fact Checking * Independent Research * Problem-Solving

Osaic

Quantitative Analyst III

Scottsdale, AZ · On-site +1

$85K - $99K/yr

... Technology, Data Engineering, and business teams to define requirements and deliver durable ... Python, R, Power BI, or similar platforms Exposure to AI and machine learning tools and their ...

Adecco

Senior Data Engineer

Phoenix, AZ · Remote

$120K - $135K/yr

Senior Data Engineer - Revenue Cycle Management 100% Remote | U.S.-Based | Healthcare Data ... Analyze claims, denials, payer requirements, billing workflows, reimbursement, and revenue leakage.

New

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

... AI or Any Analytical /Data Science (Python/R/SAS etc.) leveraged solutions o Data Governance ... Azure DevOps Implementation, DevSecOps / DataOps Methods preferred Should be able to drive the ...

USAA

Business Strategy Analyst Intermediate

Phoenix, AZ · On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... analysis using various data analytics tools (i.e.Microsoft Excel, Tableau, R, Python, SQL ...

micro1 AI

Digital Chemistry Specialist - Remote

Phoenix, AZ · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

micro1 AI

Digital Chemistry Specialist - Remote

Buckeye, AZ · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

micro1 AI

Digital Chemistry Specialist - Remote

Peoria, AZ · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

micro1 AI

Digital Chemistry Specialist - Remote

Tempe, AZ · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

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Showing results 41-60

All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Phoenix, AZ

Remote Data Analyst R Programming information

See Phoenix, AZ salary details

$33.8K

$82.1K

$135K

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

As of Aug 20, 2026, the average yearly pay for remote data analyst r programming in Phoenix, AZ is $82,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 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 popular job titles related to Remote Data Analyst R Programming jobs in Phoenix, AZ?

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

What job categories do people searching Remote Data Analyst R Programming jobs in Phoenix, AZ look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Phoenix, AZ are:

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

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

Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,054 per year, or $39.4 per hour.

Teradata ML Data Scientist with Clear Scape Analytics

Hirekeyz Inc

Scottsdale, AZ • Remote

Contractor

Re-posted 8 days ago

Job description

Role: Teradata ML Data Scientist with Clear Scape Analytics

Location: Scottsdale, AZ (REMOTE)

Job Type: Contract

Job Description:

Role Overview:

The Financial Forecasting Analytics Resource will utilize Teradata Clearscape capabilities to develop machine learning models that provide accurate forecasts to support key financial decisions. You will partner closely with business stakeholders to understand requirements and translate them into analytical solutions. An initial focus will be developing a machine learning model to forecast annual product renewal units at the individual product level.

The Senior Application Developer will:

Use the latest tools and techniques (.NET, C#, Agile Methodologies, Web Services, TSQL, SSIS)

Prepare software for deployment to production environments

Respond to and resolve questions and issues logged by users of a live system

Manage small projects independently and work as a team member on larger projects

Perform other related duties as required and assigned

Demonstrate behaviors which are aligned with the organization’s desired culture and values


Primary Responsibilities:

  • Collaborate with finance leaders and business partners to understand forecasting challenges and requirements
  • Leverage Teradata Clearscape platform to develop, test, and deploy machine learning models that provide accurate financial forecasts
  • Start by building a forecasting model for annual product renewal units at the product level, demonstrating flexibility and adaptability of the platform
  • Evaluate multiple modeling techniques including time series, regression, and neural networks to deliver the most accurate forecasts
  • Monitor and enhance models over time to adapt to changing business conditions and improve predictive accuracy
  • Package analytical solutions into easy-to-use tools and applications tailored to business user needs
  • Clearly communicate analytical methodology, results, and insights to key stakeholders
  • Conduct knowledge transfer sessions to educate internal engineering teams on model development and usage
  • Thoroughly document modeling approach, code, and results to support knowledge transfer


Required Skills/Experience:

  • 5+ years’ experience in advanced analytics and machine learning, specifically Teradata Clearscape
  • Proficiency in Python, R, or other analytical programming languages
  • Experience building, validating, and deploying machine learning models
  • Knowledge of time series analysis and forecasting techniques
  • Financial industry experience a plus
  • Excellent communication and collaboration skills