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Afternoon Data Analyst R Programming Jobs in Lehi, UT

Support creation of enterprise-level data utilization and analysis solutions to facilitate the ... Provide guidance to report developers and other data utilizers. Work with end users to understand ...

Senior DataBI Analyst

Salt Lake City, UT ยท On-site

$83K - $105K/yr

Required : โ€ข 3-5 years of experience in a data analytics, data engineering, or BI analyst role. โ€ข Proven ability to build and manage data pipelines independently, from ingestion to reporting. โ€ข ...

Data Scientist

Lehi, UT ยท On-site

... and analytics across their product line. Responsibilities : โ€ข 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.

Data Engineer

Salt Lake City, UT ยท On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

Data Scientist

Lehi, UT ยท 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.

Data Engineer

Salt Lake City, UT ยท On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

Data Scientist

Lehi, UT ยท 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.

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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 ...

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 ...

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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Afternoon Data Analyst R Programming information

See Lehi, UT salary details

$31.9K

$77.6K

$127.7K

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

As of Jul 13, 2026, the average yearly pay for afternoon data analyst r programming in Lehi, UT is $77,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Lehi, UT? For Afternoon Data Analyst R Programming jobs in Lehi, UT, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Lehi, UT look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Lehi, UT are:
Infographic showing various Afternoon Data Analyst R Programming job openings in Lehi, UT as of July 2026, with employment types broken down into 1% As Needed, 50% Full Time, 39% Part Time, 3% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $77,575 per year, or $37.3 per hour.

Data Scientist - Senior

NALLEY CONSULTING

Salt Lake City, UT โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Position: Data Scientist 

LCAT: Senior
Location: Utah ANG, Salt Lake City, Utah / On-site
Office: U.S. Air Force Air Combat Command

Required clearance: TS/SCI, ability to pass a polygraph

Required education:  Masterโ€™s degree or bachelorโ€™s degree with at least five (5) years of related senior-level experience in data science. Ten (10) years or relevant data science experience in lieu of degree; at least part of the required experience must be within the past two (2) years.

Description:
This position is contingent upon award of contract. We are seeking a highly skilled and experienced Data Scientist to join our team supporting the Air Forceโ€™s Air Combat Command (ACC) Intelligence, Surveillance, and Reconnaissance (ISR) Enterprise program. 

As our data scientist, youโ€™ll lead advanced analytic efforts and drive data-informed decision-making across the organization. This role involves conducting end-to-end data science activitiesโ€”including data engineering, exploratory analysis, predictive modeling, and statistical analysisโ€”while transforming complex datasets into actionable insights through compelling visual and narrative storytelling.

The ideal candidate will proactively identify and retrieve relevant data from diverse sources, build scalable machine learning (ML) solutions, and develop AI-driven tools to automate analytical processes and improve operational efficiency.

Responsibilities

  • Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights.
  • Design and develop machine learning models, including recommendation engines and automated scoring systems.
  • Build, validate, and deploy high-quality predictive models and analytical solutions.
  • Conduct exploratory data analysis to identify trends, anomalies, and opportunities.
  • Integrate and manage large, disparate datasets from multiple structured and unstructured sources.
  • Develop and automate workflows for data processing, model training, and reporting.
  • Translate analytical findings into clear, compelling visual, written, and verbal narratives.
  • Collaborate with cross-functional teams to support strategic and operational decision-making.
  • Develop AI-based tools to streamline and automate business processes.
  • Ensure data quality, integrity, and governance across analytical workflows.

Required Experience: 

  • Experience working with large-scale and complex datasets, including Multi-INT or similar data environments
  • Proficiency in major data science programming languages including Python and R
  • Expertise in data visualization tools and applications, including Power BI and Tableau
  • Experience managing and merging disparate data sources, preferably through R, Python, or SQL
  • Strong knowledge and experience using ICD 203/206 tradecraft standards

Desired Experience:

  • Background in advanced analytics within intelligence, defense, or similar data-intensive domains.
  • Experience in developing and deploying automated AI/ML solutions.
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, or GCP).
  • Experience with big data frameworks (e.g., Spark, Hadoop).

ABOUT NALLEY CONSULTING

Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states.

Nalley Consulting fringe benefits include:

  • Excellent medical, dental, and vision benefits
  • PTO
  • 11 paid federal holidays
  • Tuition assistance
  • Paid military-reserve leave
  • Paid parental leave for birth or adoption
  • 401k matching up to 5 percent of the base salary
  • Flex time
  • Company-paid short-term disability, long-term disability, and life insurance.