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Remote Data Analyst R Programming Jobs in San Diego, CA

Perform statistical programming and generate summary tables, listings, and visualizations using SAS ... Working knowledge of statistical software, such as SAS or R; experience with clinical trial data or ...

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Ops Engineer to ... You'll partner closely with data engineers, platform engineers, and analytics teams to deliver ...

... analysis, and software engineering. Identifies patterns and looks for opportunities for ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

Collaborate with Data Engineering to ensure scalable, secure, and accessible data infrastructure ... Benefits Location Remote (US) Benefits & Perks * Competitive compensation and equity package (RSUs)

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

... DoD analytics environments, and Microsoft 365. This is a largely remote position; however ... Research, design, implement, and manage enterprise data engineering systems, and serve as subject ...

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

... DoD analytics environments, and Microsoft 365. This is a largely remote position; however ... Research, design, implement, and manage enterprise data engineering systems, and serve as subject ...

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Remote Data Analyst R Programming information

See San Diego, CA salary details

$36.1K

$87.7K

$144.4K

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

As of Aug 27, 2026, the average yearly pay for remote data analyst r programming in San Diego, CA is $87,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $103,000.00 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 San Diego, CA?

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

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

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

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

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

Infographic showing various Remote Data Analyst R Programming job openings in San Diego, 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 $87,740 per year, or $42.2 per hour.

Data Analyst

ALOHA Collection Inc.

Carlsbad, CA • On-site, Remote

$80K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

ROLE OVERVIEW

The Data Analyst will provide data driven recommendations to support the operations and growth of ALOHA Collection. This role will be responsible for collaborating with internal partners and unlocking reporting and analysis capabilities for each team. Day-to-day work will consist of addressing data related queries from stakeholders by creating data products such as dashboards, reports, analysis, and automation.

WHAT YOU'LL DO

  • Query and analyze data using SQL to track marketing KPIs and assess business health, using AI tools to accelerate query writing, exploration, and pattern-finding.
  • Design, develop, and continuously improve impactful and dynamic reporting and visualizations - including interactive dashboards and AI-generated artifacts - that provide clear, actionable insights into product performance, operational efficiency, and company trends.
  • Support and help enforce data governance standards - including consistent metric definitions, naming conventions, access, and documentation - so teams work from reliable, well-understood data and decisions are built to scale as the business grows.
  • Own regular data sweeps and audits, ensuring records are accurate, complete, and consistent, and partnering with relevant teams to resolve discrepancies at the source.
  • Apply strong judgment to validate and quality-check AI-assisted analysis and outputs, ensuring accuracy and sound interpretation before insights are shared or acted on.
  • Act as a Subject Matter Expert, providing training and ongoing guidance to teams using data and AI tools to make decisions.
  • Champion AI adoption across the organization: identify high-value use cases, build and share reusable prompts, workflows, and artifacts, and coach teams on effective, responsible use.
  • Lead and manage ad-hoc reporting requests and analysis, using AI to increase speed and depth of turnaround.
  • Implement and support continuous improvement in data analytics, business intelligence, and reporting efficiency and effectiveness, including integrating AI and automation into recurring workflows.

EXPERIENCE WE'RE LOOKING FOR

  • 2+ years of experience in data analytics, business intelligence, or related field
  • Experience in retail or E-commerce industries a must
  • Strong proficiency in SQL and data visualization tools (e.g., Omni, PowerBI, etc.)
  • Experience using AI tools (e.g., ChatGPT, Claude, Copilot, or similar) to accelerate analysis, reporting, and problem-solving - with the judgment to validate outputs for accuracy before relying on them
  • Expert level in Google Sheets

WHAT YOU'LL BRING TO THE TABLE

  • Excellent communication and presentation skills, with the ability to present complex data in a clear and concise manner to all levels of the organization
  • Strong analytical skills including attention to detail and independent problem solving
  • A natural curiosity and intuition for data - ability to create models/frameworks to break down complex problems without fully defined requirements and questions
  • Enthusiasm for helping others adopt AI and data tools; comfort coaching and enabling non-technical teammates

WHAT WE OFFER 

From the start, our founders, Heather and Rachael, envisioned a company culture that was dynamic, intentional and sustainable. We provide education about Hawaiian culture and opportunities for personal and professional growth for every member of Team ALOHA. We believe in work-life balance and trust, which is why we offer flexible remote working options and show up with compassion when life's unexpected moments arise. And if you haven't heard, we LOVE working together!

Benefits

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Employee discount
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Vision insurance

Schedule

  • Full-Time, Monday - Friday
  • Hybrid (Carlsbad, CA) or Fully-Remote 
  • Must be legally eligible to work in the United States

Pay

  • $80,000 - $95,000