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Remote Data Analyst R Programming Jobs in San Diego, CA

Alimentiv

Clinical Data Analyst

San Diego, CA · Remote

Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence. * Assess ways to further leverage ...

Thrive Market

Senior Data Analyst, Product

Vista, CA · On-site +1

Partner with Product Management, Engineering, Data Science, and Functional teams to gather, manipulate, analyze, and document raw, complex data and share cohesive data stories that make sense to ...

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader ... Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ...

Jj

Principal Data Scientist, R&D Oncology

San Diego, CA · On-site +1

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ...

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All JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in San Diego, CA

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 Jun 9, 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 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 San Diego, CA? The most popular types of Data Analyst R Programming jobs in San Diego, CA are:
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:
Remote Data Analyst R Programming jobs near you

Clinical Data Analyst

Alimentiv

San Diego, CA • Remote

Full-time

Posted 6 days ago

Job description

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities.  This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.
 
Reporting Standards Management
  • Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
  • Gather requirements from a cross-functional group to a particular study question or operational activity.
  • Build & configure solution to meet the requirements.
  • Lead validation activities to prepare reporting solutions for release/usage.
  • Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
  • Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
  • Maintain ongoing updates to standard report templates.
  • Support training for the Data Sciences team of new standard reports/solutions.
Study-Specific Reporting Deployment
  • Deploy standard reporting solutions for use on a study-specific basis.
  • Create & develop ad hoc reporting and/or analysis solutions - report, dashboard, visualization, or other - as requested by study team members.
  • Gather requirements from study team member(s) for ad hoc solutions.
  • Build & configure ad hoc solutions to meet the requirements.
  • Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
  • Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
Department Operational & Performance Analysis
  • Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
  • Design, build, and maintain metrics governance within Data Sciences.
  • Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
Technical Systems
  • Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
  • Act as a technical system subject matter expert; perform validation and testing of systems.
  • Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
  • Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
  • Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
  • While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.
Qualifications
  • Minimum of a Bachelor's degree + 4-6 years of related experience.
  • Strong analytical skills
  • Visual design and aesthetic sense to produce appealing and intuitive outputs
  • Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
  • Skilled data storyteller to communicate complex information in clear and effective manner
  • Strong collaborator
  • Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
  • Preference to prior Clinical Research and/or Clinical Data Management experience.
Working Condition
  • Home-based
$97,500 - $163,000 a year
+ bonus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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