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Afternoon Data Analyst R Programming Jobs in Provo, UT

Lightspeed DMS

Data Analyst - API

South Jordan, UT

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT · On-site

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

Lightspeed DMS

Data Analyst - API

South Jordan, UT · On-site

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Data Science Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

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 ...

Raytheon

Principal Analyst Data Manager

Provo, UT · On-site

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

Raytheon

Principal Analyst Data Manager

Provo, UT

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

Patientco

Data Scientist

Lehi, UT · On-site

... 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.

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$100 - $125/hr

... 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 ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

... 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.

Waystar

Data Scientist

Lehi, UT · On-site

... 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.

Waystar

VP, Data Sciences

Lehi, UT · On-site

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 ...

Patientco

Senior Data Scientist

Lehi, UT · On-site

This is a product engineering role in which employees work with multiple types of business data ... Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Provo, UT

Afternoon Data Analyst R Programming information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

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

As of Sep 8, 2026, the average yearly pay for afternoon data analyst r programming in Provo, UT is $78,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Provo, UT?

For Afternoon Data Analyst R Programming jobs in Provo, UT, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Provo, UT look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Provo, UT are:

What cities near Provo, UT are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Provo, UT 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 Provo, UT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,174 per year, or $37.6 per hour.

Data Analyst - API

Lightspeed DMS

South Jordan, UT

Full-time

Posted 21 days ago

Job description

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will implement and support RESTful API integrations and reporting solutions, partnering closely with engineering, data platform, and cross-functional teams to keep dealer data flowing accurately across all Lightspeed data platforms. 

This role has direct impact on dealer-facing data integrity: the integrations this person builds and maintains determine whether OEM programs, manufacturer data feeds, and dealer reporting are accurate and timely. The role combines hands-on API development with data analysis and reporting and requires close collaboration with internal and external technical stakeholders. 

What You'll Do 

API Development & Integration 

  • Support and help maintain RESTful API integrations connecting Lightspeed's DMS platform to OEM systems, aftermarket manufacturer data feeds, and internal platforms. 
  • Troubleshoot and resolve API connectivity, authentication, and data flow issues for internal and external clients, including OEM and dealer partners. 
  • Document API integration specifications and data mappings for internal and partner-facing use. 

Reporting & Data Solutions 

  • Build and support customized reporting solutions using SQL (Microsoft and Postgres) and Power BI. 
  • Perform data classification and validation to ensure accuracy and security across dealer and OEM datasets. 

Client & Partner Support 

  • Support internal and external client inbound requests related to API integrations and data feeds. 
  • Collaborate with OEM and aftermarket manufacturer technical contacts to gather and validate integration requirements. 

Cross-Functional Collaboration 

  • Partner with engineering, data platform, and product teams to meet diverse data requirements across sales, parts, service, rentals, and accounting modules. 
  • Explore and adopt new tools and techniques across SQL, APIs, SSIS, and Power BI. 
What You Should Have 

Required Qualifications 

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. 
  • Working knowledge of RESTful API design, development, and integration. 
  • Proficiency with Microsoft SQL; familiarity with PostgreSQL. 
  • Experience with Python, Node.JS, and/or SSIS for building data pipelines. 
  • Exposure to dealer, franchise, or vertical SaaS business models, or strong interest in learning the dealer/OEM data ecosystem. 
  • Strong problem-solving and communication skills. 

Preferred Qualifications 

  • Experience with Power BI or SSRS reporting. 
  • Prior experience integrating with OEM, manufacturer, or partner-facing APIs. 
  • Interest in the Powersports, Marine, RV, Trailer, Outdoor Power Equipment, or Golf Cart industries. 

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