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Remote Data Analyst R Programming Jobs in Huntsville, AL

Deloitte

Epic Research & Genomics Analyst

Huntsville, AL · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ...

Hexagon AB

RMS Implementer (Remote- US)

Madison, AL · On-site +1

Remote Req Id: 3065 Responsibilities As a RMS Implentation Analyst, you will use your experience to ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

SAIC

Finance Analyst Senior

Huntsville, AL · Remote

$84K - $104K/yr

ORA_REMOTE Description SAIC is seeking a detail-oriented and motivated candidate to support the ... Demonstrate the ability to process and analyze large volumes of data in Excel and consolidate into ...

Alutiiq, LLC

Corporate Pricing Analyst

AL · On-site +1

$80K - $100K/yr

This Position is Remote Nationwide Eligible About the Role and Team APC's Pricing Analyst reports ... Gather, organize, and incorporate historical data and source documentation. * Prioritize work for a ...

DataAnnotation

SDLC Engineer - AI Trainer

Huntsville, AL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Huntsville, AL

Remote Data Analyst R Programming information

See Huntsville, AL salary details

$33.5K

$81.4K

$134K

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

As of Jul 14, 2026, the average yearly pay for remote data analyst r programming in Huntsville, AL is $81,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 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 popular job titles related to Remote Data Analyst R Programming jobs in Huntsville, AL? For Remote Data Analyst R Programming jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Huntsville, AL look for? The top searched job categories for Remote Data Analyst R Programming jobs in Huntsville, AL are:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Huntsville, AL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $81,427 per year, or $39.1 per hour.
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Re-posted 27 days ago

Job description

FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.


Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4–IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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