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Afternoon 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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Afternoon Data Analyst R Programming information

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are the most commonly searched types of Data Analyst R Programming jobs in Utah? The most popular types of Data Analyst R Programming jobs in Utah are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Utah? For Afternoon Data Analyst R Programming jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Utah look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Utah are:
What cities in Utah are hiring for Afternoon Data Analyst R Programming jobs? Cities in Utah with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 56% Full Time, 35% Part Time, 1% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
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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