2

Remote Data Analyst R Programming Jobs in Minneapolis, MN

... experience with R or Python, a range of data types of various structures and sizes, and an ... Flexible Work Schedules #LI-Remote Welcome to impact. Welcome to innovation. Welcome to your new ...

Data Science Tutor

Edina, MN ยท Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Databricks Data Engineer

Minnetonka, MN ยท Remote

$50 - $55/hr

Genesis10 is currently seeking a Databricks Data Engineer for a Remote position with a Large Health ... Support the design, development, testing, and deployment of data analytics programs and processes ...

next page

Showing results 1-20

Remote Data Analyst R Programming information

See Minneapolis, MN salary details

$35.5K

$86.3K

$142K

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 Minneapolis, MN is $86,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 Minneapolis, MN? The most popular types of Data Analyst R Programming jobs in Minneapolis, MN are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Minneapolis, MN? For Remote Data Analyst R Programming jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Minneapolis, MN look for? The top searched job categories for Remote Data Analyst R Programming jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Remote Data Analyst R Programming jobs? Cities near Minneapolis, MN with the most Remote Data Analyst R Programming job openings:

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Analyst Fraud Waste & Abuse
Minnetonka, MN - Remote
Job Description
Description
The Fraud, Waste, and Abuse (FWA) Analyst plays a critical role in safeguarding state Medicaid programs by identifying, analyzing, and preventing fraudulent activities within Medicaid claims. You will be working with a State Government Product and Data Mining team. Your primary responsibility will be to assist in the development and deployment of algorithms designed to support program integrity across various platforms and states plus support our fraud and abuse detection product and services.
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Qualifications
Required Qualifications:
3+ years experience writing intermediate SQL queries
3+ years fraud, waste and abuse data mining experience
2+ year data analysis experience working with database structures
2+ years of healthcare claims experience
Preferred Qualifications:
  • Industry certifications: Certified Professional Coder (CPC) or Certified Fraud Examiner (CFE)
  • Experience with statistical analysis of data
  • Knowledge of Medicaid policy and real-life fraud, waste, abuse schemes
  • Knowledge of healthcare claim adjudication systems
  • Experience with Rally