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Freelance Data Analyst R Programming Jobs in Minneapolis, MN

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or ... Experience in R, Python, or similar scripting language * Experience with data visualization and ...

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or ... Experience in R, Python, or similar scripting language * Experience with data visualization and ...

Data Analyst II

Cottage Grove, MN · On-site

$90.04 - $139.56/hr

R-2903**ANDERSEN CORPORATION SUMMARY:**At Andersen, we see possibility everywhere, every day and in ... Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Data Analyst

Minneapolis, MN · On-site

$85 - $100/hr

R-101819** **Ryan US, Inc. has an immediate career opportunity for a Data Analyst to join our team! This is an IN-OFFICE opportunity in our Minneapolis corporate headquarters. Our Data Analyst will ...

... as an Analytics Engineer • Dataset management and data pipeline development • Demonstrates solid expertise in data visualization and dashboard creation • Skilled in data extraction ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Intermediately accomplished with Python or R * Knowledge of forecasting models including statistical analysis * Advanced data visualization skills; building interactive, executive ready dashboards in ...

Data Analyst

Minneapolis, MN · On-site +1

$32.92 - $45.12/hr

August 21, 2026 Department: 74000670 Clinical Engineering Services Management Shift: Day (United ... Hybrid remote position Supports a variety of data analysis, project management, and quality ...

Claims Data Analyst Location: Remote Required Skills & Experience: * 3+ years of experience as a ... developers in charge of the FHIR APIs that will expose the data externally.

Data Analyst II

Cottage Grove, MN · On-site

$90K - $139K/yr

The Analyst plays a pivotal role in bridging the gap between business needs and data-driven ... Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ...

Data Analyst II

Cottage Grove, MN · On-site

$90 - $140/hr

The Analyst plays a pivotal role in bridging the gap between business needs and data-driven ... Programming Basics: Exposure to scripting languages such as SQL for data manipulation and ...

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Freelance Data Analyst R Programming information

See Minneapolis, MN salary details

$35.5K

$86.3K

$142K

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

As of Aug 28, 2026, the average yearly pay for freelance 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 does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

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 Freelance Data Analyst R Programming jobs in Minneapolis, MN?

For Freelance Data Analyst R Programming jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analyst R Programming jobs in Minneapolis, MN look for?

The top searched job categories for Freelance Data Analyst R Programming jobs in Minneapolis, MN are:

Full-time

Re-posted 12 days ago


Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

Accountabilities & Responsibilities

  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:

  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:

  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:

  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

What Tactile Medical employees say

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