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Remote Data Analyst R Programming Jobs in Frisco, TX

PNC Bank

Fraud Model Analyst

Farmers Branch, TX · On-site +1

$45K - $103.50K/yr

Python, R Language, SQL, SAS nice to have Statistical Modeling, Validation Data Science, Statistics ... May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to ...

RealPage, Inc.

Analyst IV

Richardson, TX · Remote

$85.20K - $145.20K/yr

... engineering, or data science practices. * Exposure to statistical analysis or advanced analytical techniques. * Familiarity with formal data governance or data quality frameworks. #LI-AS2 #LI-REMOTE ...

RealPage, Inc.

Analyst IV

Richardson, TX · On-site +1

$85.20K - $145.20K/yr

... engineering, or data science practices. * Exposure to statistical analysis or advanced analytical techniques. * Familiarity with formal data governance or data quality frameworks. #LI-AS2 #LI-REMOTE ...

H R PUNDITS INC

Data Engineer

Carrollton, TX · On-site +1

$120K/yr

Lewisville TX Onsite/ Remote: Day 1 Onsite at customer location Automotive domain Must. Job ... analytics feature in collaboration with product owners, reporting analysts / data analysts, and ...

RedSail Technologies

Clinical Data Scientist

Irving, TX · On-site +1

Experience programming with SQL scripting. * Experience with data analytics visualization tools ... Position is performed in a general office environment, home office, or approved remote workspace ...

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Remote Data Analyst R Programming information

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$31.8K

$77.3K

$127.3K

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

As of May 28, 2026, the average yearly pay for remote data analyst r programming in Frisco, TX is $77,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 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 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 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 Frisco, TX? The most popular types of Data Analyst R Programming jobs in Frisco, TX are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Frisco, TX? For Remote Data Analyst R Programming jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Frisco, TX look for? The top searched job categories for Remote Data Analyst R Programming jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Remote Data Analyst R Programming jobs? Cities near Frisco, TX with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
Data Science Intern - Summer 2026 - Remote

Data Science Intern - Summer 2026 - Remote

UPLAND CAPITAL GROUP INC

Dallas, TX • On-site, Remote

Other

Posted 21 days ago

Job description

Data Science Intern - Summer 2026 - Remote

As an Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. We are looking for a Data Science Intern to join our RA&D team for the summer. The role will report to the Director of Data Science.

Upland Capital Group, Inc. is an AM Best rated "A-" VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions as well as excess cyber liability.

We focus on "old school" underwriting as a craft, add "new school" analytics and technology, and encourage a gritty, growth mindset among people called "we entrepreneurs."

At our Risk, Analytics, & Data (RA&D) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized and cloud-based, running on Azure. This internship offers hands-on experience within a production analytics environment - working alongside experienced practitioners on real problems in specialty insurance. You will contribute to projects that enhance actuarial, underwriting, and claims insights through data-driven analytics, while developing practical skills in a collaborative, intellectually demanding setting.

Duties and Responsibilities

As a Data Science Intern at Upland, you will work alongside our data scientists and actuaries on analyses and modeling projects that support decision-making across actuarial, underwriting, and claims functions. You will be encouraged to ask questions, try new approaches, and develop your skills in a real production analytics environment.

Responsibilities will include:

  • Contribute to the curation of modeling datasets using internal and external data sources
  • Support the development and testing of models and analytics products under the guidance of senior data scientists
  • Assist with model documentation and help maintain standards for reproducibility and transparency
  • Research and apply data science techniques relevant to specialty insurance problems
  • Use AI to develop more efficient analytic workflows

Required Experience, Education, and Skills

Required:

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
  • Basic understanding of statistical modeling and machine learning concepts
  • Proficiency or coursework in Python, R, and/or SQL
  • Demonstrated experience using AI coding tools such as Claude Code, Codex, or similar
  • Self-starter, quick learner, and creative problem solver who thrives in a flexible, fast-paced, and remote work environment

Preferred:

  • Exposure to or interest in a variety of modeling techniques (e.g., Regression, Classification, Natural Language Processing, Large Language Models, etc.)
  • Basic understanding of the P&C insurance industry

Disclosures:

Pay Estimate: $ 22 per hour

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