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Remote Data Analyst R Programming Jobs in Ventura, CA

Senior Global Benefits Analyst

Goleta, CA ยท On-site +1

$77K - $102K/yr

Also open to candidates within California (Remote). The Role The Senior Global Benefits ... Analyze benefits and utilization data, renewal information, trends, and employee experience ...

Treasury Analyst - AI Trainer

Oxnard, CA ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Treasury Analyst - AI Trainer

Ventura, CA ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Showing results 21-40

Remote Data Analyst R Programming information

See Ventura, CA salary details

$36.4K

$88.4K

$145.5K

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

As of Aug 22, 2026, the average yearly pay for remote data analyst r programming in Ventura, CA is $88,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $103,800.00 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 the most commonly searched types of Data Analyst R Programming jobs in Ventura, CA?

The most popular types of Data Analyst R Programming jobs in Ventura, CA are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Ventura, CA?

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

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

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

What cities near Ventura, CA are hiring for Remote Data Analyst R Programming jobs?

Cities near Ventura, CA with the most Remote Data Analyst R Programming job openings:

Infographic showing various Remote Data Analyst R Programming job openings in Ventura, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $88,419 per year, or $42.5 per hour.

Senior Software Engineer (Remote Sensing)

Umbra

Santa Barbara, CA โ€ข On-site, Remote

$136K - $179K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago


Job description

Umbra is an American space technology company delivering advanced systems, from sensors to spacecraft, that empower customers worldwide with unmatched access to critical information from space. Our mission is simple and ambitious: redefine space-for people, systems, and missions in every domain. Umbra's ecosystem operates through three business units: Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms).Together, our teams develop capabilities that deliver persistent access, resilient performance, and mission-ready solutions, advancing U.S. space leadership while keeping the world safe and informed.
About the Team
Remote Sensing - The Data
Remote Sensing is where Umbra got its start, and our agile Synthetic Aperture Radar (SAR) constellation remains the most capable on the market. We transform satellite data into real-world, actionable insights that strengthen U.S. national security and intelligence, support disaster response, and advance scientific discovery. Our team delivers data at scale with unmatched quality, persistence, and the speed and responsiveness our partners demand.
If you want to work on cutting-edge space technology that's redefining what's possible in remote sensing, you belong here at Umbra.
About the JobWe are seeking a Senior Ground Software Engineer to join our Remote Sensing software organization and help expand our capacity to design, build, and maintain the critical systems that support our autonomous satellite operations. This engineer will contribute to software systems across our mission planning, scheduling, command, control, and communications domains, partnering with product owners and multidisciplinary engineering teams to develop and operate the services that enable spacecraft operations at scale.
In this role, you will take ownership of key backend services alongside our existing engineers, helping distribute operational responsibility, improve system resiliency, and accelerate delivery across multiple mission-critical product areas.
This position is based on-site in either our Santa Barbara/Goleta, CA office, Arlington, VA office, or Reston, VA office (coming soon).
Key Responsibilities
  • Design, develop, and maintain reliable, scalable, and secure software systems that support satellite mission planning, scheduling, command, control, and communications.
  • Take shared ownership of critical production services, reducing single-threaded dependencies and improving operational resilience.
  • Contribute to architectural decisions and influence system design with a focus on reliability, scalability, maintainability, and security.
  • Collaborate with cross-functional teams, including operations, platform engineering, and flight software, to deliver end-to-end solutions.
  • Participate in on-call rotations and ensure system uptime, performance, and operational excellence.
  • Develop and maintain APIs, backend services, and data workflows that support autonomous satellite operations.
  • Continuously improve observability, testing, deployment, and operational processes.

Requirements
Required Qualifications
  • Bachelor of Science in Computer Science, Software Engineering, or a related field.
  • 5-8+ years of professional experience developing highly available backend services, preferably using Python.
  • 3+ years of experience designing, developing, and testing commercial RESTful APIs.
  • Experience developing software for aerospace ground systems, satellite operations, mission operations, command and control systems, or similarly complex operational environments.
  • Demonstrated understanding of software architecture, event-driven microservices, interface design, and automated testing practices.
  • 2+ years of professional experience developing automated build and test pipelines within a CI/CD environment.
  • Experience building database-backed applications and working with relational databases, preferably PostgreSQL.
  • Experience developing and deploying Kubernetes/Docker containerized services.
  • Experience with AWS or other cloud computing platforms.
  • Solid understanding of application security, access control, authentication, and identity management.
  • Strong communication skills and the ability to collaborate effectively across engineering disciplines.

Desired Qualifications
  • Experience building software to automate space operations.
  • Experience designing and implementing scheduling systems, optimization algorithms, or automated planning systems.
  • Strong understanding of infrastructure monitoring, observability, and operational best practices.
  • Experience designing and documenting APIs using Swagger/OpenAPI.
  • Track record of improving team effectiveness through mentorship, documentation, or knowledge sharing.

Benefits
  • Flexible Time Off, Sick, Family & Medical Leave
  • Medical, Dental, Vision, Life, LTD, STD (employer funded)
  • Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded)
  • 401k with 3% non-elective company contribution
  • Stock Options
  • Free parking
  • Free lunch in office daily

Umbra is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law.
Employment Eligibility Verification
In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire.
ITAR/EAR Requirements
This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. ยง 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S. Department of Commerce as applicable.
Pay Transparency
This job posting may cover multiple career levels. To ensure greater transparency, we provide base salary ranges for all roles, regardless of location. Our standard pay ranges are based on the role's function and level, benchmarked against similar growth-stage companies. Compensation may vary based on geographical location, as certain regions may have different cost-of-living factors. The final offer will also be influenced by the candidate's skills, responsibilities, and relevant experience.
Compensation Range
The Compensation Range for this role is $155,000 - $185,000 DOE.