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Freelance Data Analyst R Programming Jobs in Orem, UT

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

BI - Senior Data Analyst

Orem, UT · On-site

$74K - $94K/yr

As a Senior Data Analyst, you will be responsible writing, maintaining, and evolving data pipelines ... Proficiency in programming languages SQL, SOQL, or similar technologies, as well as Python or R (1 ...

Advanced SQL skills and/or knowledge with Python or R for data analysis and automation * Experience in Guidewire or other modern policy administration systems * Experience working with different ...

BI - Senior Data Analyst

Orem, UT · On-site

$70K - $80K/yr

As a Senior Data Analyst, you will be responsible writing, maintaining, and evolving data pipelines ... Proficiency in programming languages SQL, SOQL, or similar technologies, as well as Python or R (1 ...

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 ...

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols * Develop and refine a robust ...

... and analytics across their product line. Responsibilities : • Designs, develops and programs ... Engineering, Product Management, and Operational teams in designing, experimenting-with, and ...

... Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

... Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

... Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business ... Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g.

Building, mentoring, and leading a high-performing team of data engineers, data scientists, and ... Strong command of SQL, Python, or R for data manipulation and analysis. * Experience with business ...

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Freelance Data Analyst R Programming information

See Orem, UT salary details

$29.6K

$71.8K

$118.2K

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

As of Jun 19, 2026, the average yearly pay for freelance data analyst r programming in Orem, UT is $71,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,300.00 per year, depending on experience, location, and employer.

How much do freelance data analysts make?

Freelance data analysts using R programming typically earn between $25 and $100 per hour, depending on experience, project complexity, and client budget. Annual income varies widely but can range from $50,000 to over $100,000 for experienced professionals working on multiple projects or consulting contracts.

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.

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 expertise, and why are they important?

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 specializing in 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.

Can I do freelancing as a data analyst?

Freelance data analysts, including those skilled in R programming, can work independently by offering data analysis, visualization, and reporting services to clients. Success depends on building a strong portfolio, having proficiency in tools like R and SQL, and managing client relationships and deadlines. Many freelancers find opportunities through online platforms and networking.

Does R programming pay well?

Freelance data analysts skilled in R programming can earn competitive rates, especially with expertise in statistical analysis, data visualization, and proficiency in tools like RStudio. Earnings vary based on experience, project complexity, and client industry, but experienced freelancers often command higher pay in the data analysis field.

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 are the most commonly searched types of Data Analyst R Programming jobs in Orem, UT? The most popular types of Data Analyst R Programming jobs in Orem, UT are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in Orem, UT? For Freelance Data Analyst R Programming jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Orem, UT look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Orem, UT are:
What cities near Orem, UT are hiring for Freelance Data Analyst R Programming jobs? Cities near Orem, UT with the most Freelance Data Analyst R Programming job openings:
Infographic showing various Freelance Data Analyst R Programming job openings in Orem, UT as of June 2026, with employment types broken down into 71% Full Time, 11% Part Time, and 18% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $71,845 per year, or $34.5 per hour.
Data Analyst

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and external data. This role will support our Store Analytics (Operations and Finance), Menu and Tech teams.


This individual serves as a consultant to their functional departments, understanding their key business problems and using data to accomplish their OKRs and improve business performance.


This is a growing department, and the position will also support team initiatives to drive a data-informed company culture and mindset.

Responsibilities
  • Understands both the short-term goals and long-term strategy of their assigned department. 

  • Supports their assigned department to accomplish their OKRs through data requests, data visualization, process improvements, and impact measurement, etc. 

    • Uses the team's standard methodology of data collection, reporting, etc.

    • Interprets and analyzes results using statistical techniques

    • Provides ongoing reports and maintains existing dashboards 

    • Identifies and interprets trends/patterns in complex data sets

  • Clearly defines problems, conducts analyses using the correct methodologies in order to answer the "key question" to those stated problems or strategies and presents findings in an easy to understand manner and with actionable recommendations.

  • Uses a strategic mindset when solving problems and testing solutions to ensure a positive, actionable outcome

  • Creates visually stimulating and effective reports and dashboards, understanding their audience and department needs 

  • Deeply seeks and understands the root of problems and questions asked. Doesn't simply "complete tasks" but ensures the task is purposeful and drives positive impact

  • Builds and maintains strong relationships with stakeholders around the trust and use of data by applying strong verbal and written presentation skills and communicating technical details effectively 

  • Locates and improves new/existing opportunities for automation and processes for their assigned department 

  • Encourages and exemplifies a data-informed culture and mindset

  • Works with Data Analytics Manager and Data Integrity Project Manager: 

    • Promote statistical efficiency and quality of internal and external data 

    • Ensure data acquired from primary or secondary sources are used and analyzed correctly

  • Works on quarterly team initiatives, as directed by leadership

  • Collaborate and knowledge share with other analysts to 

    • Develop and grow analytical skills 

    • Work on team initiatives 

    • Connect department KRs back to company KPIs

  • Continuously trains and improves knowledge of statistics, data analytics, tools, etc.

Qualifications
  • A Bachelor's Degree in a field related to data is preferred (Mathematics, Economics, Computer Science, Information
  • Management, Statistics, etc.), but not required.
  • Recent experience in data analytics or a related field.
  • Adept understanding of SQL required
  • Adept understanding of Excel required.
  • Knowledge of statistics.
  • Experience with Tableau.
  • Passion for data integrity Proactive problem solver
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Excellent verbal and written communication
  • Snowflake knowledge is preferred but not required.
  • Positive attitude and has the ability to handle change with professionalism and authenticity
  • DBT knowledge is preferred, but not required.
  • Python/R is preferred but not required.

Benefits & Perks

- Medical, dental, and vision benefits
- 15 days PTO/year
- 10 paid holidays
- Paid parental leave
- Personal phone bill reimbursement
- Gym reimbursement
- Corporate DoorDash DashPass membership
- Regular company and team activities
- 401k with competitive matching contribution plan
- Excellent opportunities for career growth
- Work in a hyper-growth company

Crumbl was founded in 2017 by Jason McGowan & Sawyer Hemsley in Logan, Utah. It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada. Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.

Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community.

Crumbl's 200+ unique cookie flavors rotate weekly and are served in our famous pink box! 

Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Recruitment Agencies: Crumbl HQ doesn't typically partner with 3rd party recruitment resources. If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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