2

Remote Data Analyst R Programming Jobs in Ventura, CA

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our ... remote team. Preferred Qualifications: • Experience supporting data platforms, analytics ...

Corporate Insurance Analyst

Goleta, CA · On-site +1

$80K - $90K/yr

California Hybrid (Remote + Occasional On-Site) The Role Deckers' Risk Management team protects our ... Maintain and analyze risk-related data including schedules of values (SOVs), COPE data, and ...

Senior Radar Systems Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms ... and systems analyses for current and future architecture. * Monitor, evaluate and improve ...

Corporate Insurance Analyst

Goleta, CA · On-site +1

$80K - $90K/yr

California Hybrid (Remote + Occasional On-Site) The Role Deckers' Risk Management team protects our ... Maintain and analyze risk-related data including schedules of values (SOVs), COPE data, and ...

Showing results 41-60

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 Sep 14, 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 Database Reliability Engineer

Oxnard, CA • Remote

micro1 AI
Software Development • 11 - 50 employees

$220K - $260K/yr

Part-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

Senior Database Reliability Engineer:


Job Type: Full-time


Location: Remote


Job Summary:

Join our team as a Senior Database Reliability Engineer, where you’ll play a central role in architecting, optimizing, and ensuring the stability of mission-critical PostgreSQL environments. You will leverage your deep technical expertise to drive database reliability, high availability, and performance at scale within a cutting-edge, cloud-native infrastructure. This is an excellent opportunity for talented engineers who are passionate about building robust data systems and thrive in collaborative, fast-paced environments.


Key Responsibilities:

• Design, implement, and manage highly available, resilient PostgreSQL database architectures using AWS RDS and Aurora PostgreSQL.

• Optimize database performance by analyzing query execution plans, tuning indices, and implementing advanced partitioning strategies.

• Ensure disaster recovery readiness through robust backup, replication, and failover processes.

• Diagnose and resolve slow queries, locks, deadlocks, and complex bottlenecks impacting large-scale databases.

• Automate routine maintenance tasks and promote operational excellence across all database environments.

• Collaborate cross-functionally to support new features, data migrations, and ongoing application scaling.

• Maintain comprehensive documentation and demonstrate excellent written and verbal communication skills.


Required Skills and Qualifications:

• 5+ years of experience managing and optimizing PostgreSQL databases in production settings.

• Expert-level knowledge of PostgreSQL internals, query tuning, indexing, partitioning, and replication.

• Proven hands-on experience with AWS RDS and Aurora PostgreSQL, including backup, recovery, and high-availability design.

• Strong analytical abilities in troubleshooting slow queries, execution plans, locks, and deadlocks.

• Demonstrated experience maintaining large-scale, high-traffic databases with millions of rows.

• Deep care for clear, proactive written and verbal communication.

• Ability to work independently and collaboratively within a remote team.


Preferred Qualifications:

• Experience supporting data platforms, analytics workloads, ETL processes, and operational databases.

• Familiarity with Infrastructure as Code (Terraform), CI/CD pipelines, and cloud-native service environments.

• Exposure to supporting modern data architectures and advanced monitoring tools.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $120,000-$150,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.