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Remote Data Analyst R Programming Jobs in Tucson, AZ

DataAnnotation

SOC Analyst - AI Trainer

Tucson, AZ · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

Talon Analytics

Sr Mechanical Engineer

Tucson, AZ · Remote

$107K - $141K/yr

Talon has an office in Tucson, AZ that is providing high fidelity computational models/analysis and ... Support updates to technical data packages (TDPs), variances, and configuration changes. * Apply ...

Chloeta

Hydrologist

Tucson, AZ · On-site +1

Proficiency in hydrological modeling software (e.g., HEC-RAS, SWAT), GIS, and data analysis tools ... engineering, scientific, and technical solutions to support military, energy, homeland security ...

Talon Analytics

Logistics Test Manager

Tucson, AZ · Remote

Talon is a small business engineering firm providing innovative, end-to-end, rapid-turn solutions ... Proficiency in relevant tools such as ERP systems, data analytics software, and testing frameworks.

ABB

Senior Project Engineer

Tucson, AZ · Remote

$91K - $119K/yr

The work model for this role is: Remote {#LI-Remote} This role is contributing to the ... Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ...

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

Remote Data Analyst R Programming information

See Tucson, AZ salary details

$32.1K

$78.1K

$128.6K

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

As of Jul 9, 2026, the average yearly pay for remote data analyst r programming in Tucson, AZ is $78,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,700.00 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 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.
What are the most commonly searched types of Data Analyst R Programming jobs in Tucson, AZ? The most popular types of Data Analyst R Programming jobs in Tucson, AZ are:
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What job categories do people searching Remote Data Analyst R Programming jobs in Tucson, AZ look for? The top searched job categories for Remote Data Analyst R Programming jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Remote Data Analyst R Programming jobs? Cities near Tucson, AZ with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
SOC Analyst - AI Trainer

SOC Analyst - AI Trainer

DataAnnotation

Tucson, AZ • Remote

$50 - $100/hr

Contractor

Re-posted 16 days ago

Job description

About the job:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for existing cybersecurity professionals to help advance AI development. Cybersecurity platforms are increasingly powered by AI — but these systems still need practitioners with real-world experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated security content, solving technical security problems, and providing feedback that directly shapes how these systems reason about real-world threats and defenses.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available to you through our platform.

Advantages of contracting with us:

  • Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  • Flexible schedule: choose which projects you take on and when you work.
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects
  • Impact: help shape the future of AI technologies built for cybersecurity.

Responsibilities:

  • Evaluate AI-generated cybersecurity content — including threat analysis, vulnerability assessments, and offensive security techniques — for real-world accuracy and validity.
  • Design and solve security-focused technical problems used to train AI systems.
  • Write clear technical explanations and security-relevant code.
  • Provide feedback that directly shapes the next generation of AI security models.

Qualifications:

  • 2+ years of hands-on experience in a cybersecurity role — such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
  • Some coding experience required; comfort navigating and patching a codebase is key.
  • Fluency in English (native or bilingual level) with strong writing skills.
  • A bachelor's degree is preferred.
  • Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. This is an independent contractor position.

#cybersecurity