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Remote Data Analyst R Programming Jobs in Carson, CA

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Help develop analytic and data products and services, and the enhancement of current processes and ... Knowledge of statistical models and practical experience in predictive model development (Python, R ...

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$92K - $116K/yr

Help develop analytic and data products and services, and the enhancement of current processes and ... Knowledge of statistical models and practical experience in predictive model development (Python, R ...

Help develop analytic and data products and services, and the enhancement of current processes and ... Knowledge of statistical models and practical experience in predictive model development (Python, R ...

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 ...

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to ... Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst ...

Partner with the Data Engineering team to ensure consistency and reliability of data used across reports and functional areas * Fulfill ad hoc analytical requests for business leaders, providing ...

Sr. Data Scientist

Santa Monica, CA · On-site +1

$110K - $130K/yr

... developers with gamers around the world. Our Research & Data Analytics (R/DA) team is building the next generation of player intelligence for the gaming industry. Rather than treating research and ...

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Remote Data Analyst R Programming information

See Carson, CA salary details

$35.6K

$86.4K

$142.2K

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

As of Jun 7, 2026, the average yearly pay for remote data analyst r programming in Carson, CA is $86,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 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 job categories do people searching Remote Data Analyst R Programming jobs in Carson, CA look for? The top searched job categories for Remote Data Analyst R Programming jobs in Carson, CA are:
What cities near Carson, CA are hiring for Remote Data Analyst R Programming jobs? Cities near Carson, CA with the most Remote Data Analyst R Programming job openings:

Senior Data Modeling Analyst - Remote

Experian

Costa Mesa, CA • On-site, Remote

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

You'll have opportunity to:

  • Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
  • Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
  • Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
  • Design and improve acquisition strategies, including segmentation, decision rules, and cut-off strategies
  • Translate findings into applicable business recommendations for partners
  • Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy implementation and monitoring.
  • Interpret results of analyses, identify trends and issues and recommend alternatives to support our goals.
  • Communicate with and deliver presentations to end-users on analysis results.
  • Produce implementation plans and participate in audits to help implement statistical models and other decision tools.
  • Help develop analytic and data products and services, and the enhancement of current processes and offerings.
Qualifications
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field
  • 8+ years' experience with statistical and quantitative analysis, Machine Learning, Statistical Modeling including large-scale data manipulation in Credit Lending industry
  • Proficiency in Python (required) and SQL, with experience building scalable pipelines
  • Knowledge of statistical models and practical experience in predictive model development (Python, R, SAS).
  • Domain experience in financial services, with exposure to credit lending, credit risk modeling, and credit decisioning lifecycle (e.g., origination, underwriting, limit setting, portfolio monitoring)
  • Experience with model deployment and productionization, including CI/CD pipelines, version control, and integration of models into scalable, real-time or batch decisioning systems
  • Experience joining large datasets from multiple data sources, creating complex logic for data cleaning, outlier detecting, and refining business rules to validate and monitor the model forecast
  • Experience solving complex and unique problems
Additional Information

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://myexperianbenefits.com/