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Remote Data Analyst R Programming Jobs in Utah (NOW HIRING)

Tendo

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 7+ years of experience in data analysis software, with data ...

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Remote Data Analyst R Programming information

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 Utah? The most popular types of Data Analyst R Programming jobs in Utah are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Utah? For Remote Data Analyst R Programming jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Utah look for? The top searched job categories for Remote Data Analyst R Programming jobs in Utah are:
What cities in Utah are hiring for Remote Data Analyst R Programming jobs? Cities in Utah with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Utah as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Principal Data Scientist

Principal Data Scientist

Tendo

Salt Lake City, UT • On-site, Remote

$131.75K - $178.25K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses.
About Tendo
Make an impact-join our team!
We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.
Responsibilities
  • Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes.
  • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows.
  • Develop analytic data sets and use statistical software to analyze data sets as requested.
  • Use third party software tools in the development of queries and visualizations.
  • Coordinate with different functional teams to implement models and monitor outcomes.

Requirements
  • Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience.
  • Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines.
  • 7+ years of experience in data analysis software, with data science experience preferred.
  • 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling.
  • Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains.
  • Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc.
  • Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning.
  • Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc.
  • Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows.
  • Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering.
  • Strong problem-solving skills with an emphasis on data analytics.
  • Excellent written and verbal communication skills for coordinating across teams.

Nice to Have
  • Experience in the healthcare setting preferred.
  • Experience with Epic EMR data preferred, but not required.
  • Experience with healthcare financials/claims preferred, but not required.

Base Salary Range
$131,750-$178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe").
Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
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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