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Freelance Data Analyst R Programming Jobs in Salt Lake City, UT

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

... R. AI-assisted development is the default form factor for the team. Most of the code we ship is ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

I have an opportunity for "Data Analyst" and looking for a candidate who can join Immediately if ... Azure Data Engineering, Azure DBA, Azure Developer or others related to the position * Domain ...

Data Analyst

Lehi, UT · On-site +1

Five or more years of professional experience in data analytics, analytics engineering, business intelligence, or a related discipline. * Preferred Bachelor's degree in computer science, statistics ...

HOW YOU CAN MAKE AN IMPACT The Data Analyst is responsible for collecting, analyzing, and ... programming languages is preferred YOUR BENEFITS YOUR CONTACT PERSON Jennifer Hood Talent ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology company located in ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Summary: The Data Analyst independently analyzes diverse data sets to identify trends, deliver ... Bachelor's degree in Business, Statistics, Computer Science, Information Technology, Engineering ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists ... May have prior experience as a Programmer and/or Service Delivery Engineer within a technical ...

Pricing Data Analysts are expected to take on special long-term projects aimed at solving key ... SciKit Learn, SAS, R, MATLAB) * Knowledge in statistics and mathematical concepts (e.g: hypothesis ...

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Freelance Data Analyst R Programming information

See Salt Lake City, UT salary details

$32.9K

$80K

$131.6K

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

As of Aug 11, 2026, the average yearly pay for freelance data analyst r programming in Salt Lake City, UT is $79,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 per year, depending on experience, location, and employer.

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.
What are the most commonly searched types of Data Analyst R Programming jobs in Salt Lake City, UT? The most popular types of Data Analyst R Programming jobs in Salt Lake City, UT are:
What are popular job titles related to Freelance Data Analyst R Programming jobs in Salt Lake City, UT? For Freelance Data Analyst R Programming jobs in Salt Lake City, UT, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analyst R Programming jobs in Salt Lake City, UT look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Salt Lake City, UT are:
What cities near Salt Lake City, UT are hiring for Freelance Data Analyst R Programming jobs? Cities near Salt Lake City, UT with the most Freelance Data Analyst R Programming job openings:
Infographic showing various Freelance Data Analyst R Programming job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,972 per year, or $38.4 per hour.

Full-time

Posted 6 days ago


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

This position is part of the BYU-Pathway Institutional Research (IR) team, which makes data visible and actionable for organizational decision-makers and implementation teams. BYU-Pathway operates with more of a start-up feel than is common in higher education research, creating significant opportunity for innovation and analytical impact. Leadership relies on IR to explain initiative performance, monitor key performance indicators, conduct applied research, and forecast future institutional outcomes.
This position is centered on transforming institutional data and research into trusted analytic products, clear findings, and actionable guidance. The incumbent will build and maintain reporting products, execute research projects, steward complex analytic methods, support shared reporting standards, and coordinate with internal and partner-organization stakeholders. Success requires strong technical capability, disciplined research practice, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences.

Work Schedule: This is a full-time benefitted position located within commuting distance of BYU-Pathway headquarters in downtown Salt Lake City. The position is hybrid-remote, currently requiring 1-3 days per week in the office, and the incumbent must physically reside and perform assigned work in Utah. Occasional travel will be necessary.

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Education
Bachelor's degree in statistics, data science, computer science, economics, mathematics, educational assessment, social science research, or another quantitative field. Master's degree preferred.


Experience
Experience in business intelligence, data analytics, reporting, or institutional research. Experience integrating data from multiple systems and supporting organizational decision-making is preferred.


Required Skills
    Power BI (reports, data models, Dataflows, Power Query, DAX)
    Proficiency in SQL for extracting, validating, and shaping data for analysis and reporting
    Data integration and data quality validation procedures
    Understanding of data lifecycle and reporting architecture
    Strong research design skills, including translating stakeholder needs into measurable questions, defining outcomes, selecting methods, and documenting assumptions and limitations
    Statistical analysis[DW4.1] and quantitative reasoning (descriptive and inferential) 
    Data visualization skills (technical and soft skills) which integrates analytics, design, and storytelling
    Strong written and verbal communication
 

Preferred Skills[DW5.1]
    Survey design, administration, and reporting (particularly in Qualtrics).
    Semantic models and data modeling
    R programming experience
    Experience in designing and synthesizing qualitative research (e.g., interviews, focus groups, and mixed-methods synthesis).
    Experience in higher education or institutional research
    Experience with learning analytics and assessment
 

1. Develop and Maintain Reporting & Analytics Solutions
  • Develop and maintain PowerBI dashboards, reports, semantic models, and dataflows.
  • Integrate data from multiple institutional systems to create reliable trend analyses, especially directed at the management and reporting of core institutional forecasting operations
  • Develop and manage recurring surveys and associated reporting processes using approved data collection instruments[DW1.1][KG1.2] and channels (e.g. Qualtrics)
  • Automate reporting workflows, including appropriate use of AI-assisted tools where they improve efficiency and quality.
  • Promote and maintain data life-cycle documentation by helping define business terminology, metadata standards, and data lineage to strengthen institutional data context and discoverability
2. Applied Research and Advanced Analysis
  • Collaborate with stakeholders to understand business questions and analytical needs.
  • Gather, prepare, and analyze institutional data to support applied research and organizational decision-making.
  • Apply statistical and analytical techniques to identify trends, relationships, and opportunities.
  • Conduct research using a variety of quantitative and qualitative methods appropriate to the project, making use of current best practices.
  • Regularly summarize findings for BYU-Pathway stakeholder and executive leadership through reports, dashboards, presentations, and visualizations
3.  Decision Support and Project Management
  •  Respond to ad hoc data requests and perform deep-dive analyses.
  •  Partner with request and project stakeholders to define requirements, clarify analytic assumptions, and promote consistent interpretation of impact and metrics.
  • Working with IR team and Pathway leadership, prioritize and manage project lifecycles and outcomes according to stakeholder expectations and delivery deadlines.
4. Reporting Standards and Data Quality
  • Maintain and update shared standards and practices used in reporting, analytics, and related operational workflows
  • Ensure reporting designs and data collections align with church, CES and BYU-Pathway data governance protocols and requirements
  • Identify inconsistencies in data or reporting procedures and recommend improvements
5. Facilitate cross-organization partnerships
  • Collaborate with partner organizations on shared reporting and analytics initiatives
  • Support effective adoption of reporting solutions through clear documentation, user guidance, and stakeholder training
  • Represent the IR team or BYU-Pathway in Church, CES or related higher education meetings and presentations

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