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Freelance Data Analyst R Programming Jobs in Utah

Snap Finance

Data Analyst I

West Valley City, UT · On-site

Experience with Python, R, or another analytical programming language. * Experience building dashboards in Tableau, R, Studio, or Python. * Exposure to ETL processes, data warehousing, or data ...

Stio

Data Analyst

Salt Lake City, UT · Remote

... 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)

Navitas Semiconductor

Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing ... Skills: Advanced Excel VBA programming, data modeling, and professional English communication ...

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R, with demonstrated ability to write efficient queries and build reproducible data pipelines to ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT · On-site

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 ...

Bamboo Insurance

Financial Data Analyst

Midvale, UT · On-site

$90K/yr

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 ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

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 ...

Harris Company

Facility Data Analyst

Salt Lake City, UT · On-site +1

$56K - $85K/yr

What we're looking for in you Bachelor's degree in computer engineering, computer science ... Analyzing time-series data from physical processes (temperature, flow, pressure, vibration) Your ...

New

Conservice

Data & Business Analyst

River Heights, UT · On-site

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

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Freelance Data Analyst R Programming information

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 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.

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
Data Analyst I

Data Analyst I

Snap Finance

West Valley City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing, and interpreting data to help drive informed business decisions across Snap's portfolio. This role partners with stakeholders across the organization to develop reports, dashboards, and actionable insights that improve operational efficiency and business performance. The ideal candidate is curious, detail-oriented, and passionate about transforming data into meaningful recommendations.
How you'll make an impact:
  • Collect, analyze, and interpret data from multiple sources to support business initiatives and decision-making.
  • Develop and maintain reports, dashboards, and visualizations that provide actionable insights to stakeholders.
  • Assist in identifying trends, patterns, and opportunities within large datasets.
  • Collaborate with business teams to understand reporting requirements and translate them into analytical solutions.
  • Support data validation, quality assurance, and governance efforts to ensure data accuracy and reliability.
  • Perform ad hoc analyses to answer business questions and support strategic initiatives.
  • Document reporting processes, methodologies, and business definitions.
  • Partner with cross-functional teams to improve reporting capabilities and operational efficiencies.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Continuously learn and apply new analytical techniques, tools, and best practices.

What you'll need to succeed:
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
  • 0-2 years of experience in data analysis, business intelligence, reporting, or related analytical work.
  • Experience in SQL, Python, and/or R for querying and analyzing data. AI tool utilization is also a plus.
  • Understanding of data analysis concepts, statistical methods, and reporting best practices.
  • Strong analytical and problem-solving skills.
  • Ability to communicate insights clearly to technical and non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.

What would make you stand out:
  • Experience with Python, R, or another analytical programming language.
  • Experience building dashboards in Tableau, R, Studio, or Python.
  • Exposure to ETL processes, data warehousing, or data modeling concepts.
  • Knowledge of statistical analysis, A/B testing, or predictive analytics.
  • Experience working with large datasets and complex business problems.
  • Internship experience in analytics, finance, technology, or related industries.
  • Curiosity for uncovering insights and driving data-informed decision making.
  • Experience working in cross-functional team environments.
  • Passion for continuous learning and professional development.

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

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