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Freelance Data Analyst R Programming Jobs in Nevada

Pwc

AI & GenAI Data Scientist-Director

Las Vegas, NV · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Booz Allen Hamilton, Inc.

$61K - $141K/yr

... analysis * Experience utilizing programming languages, including C++, Java, or Linux * Experience creating software for retrieving, parsing, and processing structured and unstructured data

Pwc

Data Engineer - Senior Associate

Las Vegas, NV · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Booz Allen Hamilton

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You'll use your experience in analytical exploration and data examination while you manage the ...

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Strong data engineering foundations - deep enough technical understanding to review architecture ... The VP of Data & Analytics will also ensure the same metrics and reporting is used across different ...

BOOZ, ALLEN & HAMILTON, INC.

Data Engineer

Las Vegas, NV · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia ... You'll use your experience in analytical exploration and data examination while you manage the ...

Booz Allen Hamilton

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... You'll use your experience in analytical exploration and data examination while you manage the ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

... and analysis of large data sets, while collaborating with business teams to enhance data ... programming • Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. • ...

Progressive Gaming

Data Engineer II

Las Vegas, NV

$110K - $132K/yr

Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform business requirements into high-quality, production-ready data solutions. This position is ideal ...

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Nevada

Freelance Data Analyst R Programming information

Is it possible to freelance as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering services such as data cleaning, analysis, and visualization to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and establishing reliable communication and project management skills.

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.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysts to have. Proficiency in R can enhance a data analyst's ability to interpret data and generate insights efficiently.

Are R programmers in demand?

R programmers, including freelance data analysts skilled in R programming, are in high demand due to the growing need for data analysis, statistical modeling, and data visualization across industries. Proficiency in R, along with skills in data manipulation and reporting, increases job opportunities in analytics and research roles.

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 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 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.
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Freelance Data Analyst R Programming jobs near you
Infographic showing various Freelance Data Analyst R Programming job openings in Nevada as of June 2026, with employment types broken down into 1% Internship, 50% Full Time, 48% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist Level lll

MB Solutions Inc

Indian Springs, NV

Full-time

Dental, Retirement

Re-posted 9 days ago

Job description

Job Overview
We are seeking a highly skilled and innovative Data Scientist Level III to join our dynamic analytics team. In this role, you will leverage your extensive expertise in machine learning, data mining, and big data technologies to develop advanced models that drive strategic decision-making. You will work on complex datasets, utilize cutting-edge AI frameworks, and deploy scalable solutions that impact various business units. Your passion for uncovering insights and translating data into actionable intelligence will help shape the future of our organization's data-driven initiatives.

Requirements

  • Must be a US Citizen
  • Must have a favorable Tier 1 (T1) security investigation
  • Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field
  • Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.
  • Experience with software development lifecycle and use of associated tools.
  • Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.
  • Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
  • Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
  • Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.
  • Willingness to learn new skills and technologies and exit "comfort zone".
  • Good organization, decision making, and verbal and written communication skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems

Benefits:

  • 401(k)
  • Dental insurance
  • Retirement plan
  • Tuition reimbursement

Work Location: In person

Apply