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Afternoon Data Analyst R Programming Jobs in Erda, UT

Gehc

Service Data Scientist

Salt Lake City, UT

Develop analytics to address customer needs and opportunities. Work alongside software developers ... R, Python) Demonstrated skill at data cleansing, data quality assessment, and using analytics for ...

GE Healthcare

Service Data Scientist

Salt Lake City, UT · On-site

Develop analytics to address customer needs and opportunities. Work alongside software developers ... R, Python) Demonstrated skill at data cleansing, data quality assessment, and using analytics for ...

GE HealthCare

Service Data Scientist

Salt Lake City, UT · On-site

... analytics to address customer needs and opportunities. • Work alongside software developers and ... SPSS, R, Python) • Demonstrated skill at data cleansing, data quality assessment, and using ...

L3HHCM20

Lead, Data Architect

Salt Lake City, UT

Experience with programming languages and tools commonly used in AI/ML workflows (e.g., Python, R ... data, analytics, cloud, or project delivery are beneficial. WORK ENVIRONMENT Collaborative and ...

Jobtailor

Senior Data Architect

West Valley City, UT · On-site

$90 - $130/hr

... programming and analysis. * Build robust processes to streamline data flow by developing data ... Knowledge of R and Python. * Knowledge of Data Warehouse Concepts, Models, Cohorts, Metrics and ...

New

PACS

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

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

RS Hughes Co., Inc.

Senior Data Engineer

Salt Lake City, UT · On-site

$103K - $140K/yr

Job Summary R.S. Hughes is seeking a Senior Data Engineer to support and evolve our enterprise analytics platform. This role is responsible for designing, building, and maintaining scalable data ...

Patientco

Data Scientist

Lehi, UT

... 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

$90 - $120/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 ...

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.

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.

Medium

Bioinformatics Analyst - UT

Salt Lake City, UT · On-site

$80 - $90/hr

Prep and Process data through GATC platform based on customer or internal end user requirements ... Experience in programming in scripting (Python or similar) and interpreted languages (R, etc)

New

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

Afternoon Data Analyst R Programming information

See Erda, UT salary details

$32.6K

$79.2K

$130.3K

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

As of Aug 19, 2026, the average yearly pay for afternoon data analyst r programming in Erda, UT is $79,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $92,900.00 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 cities near Erda, UT are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Erda, 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 Erda, UT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,155 per year, or $38.1 per hour.

Service Data Scientist

Gehc

Salt Lake City, UT

Full-time

Posted 21 days ago

Job description

Job Description SummaryThe Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.Job Description

Roles and Responsibilities

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
In this role, you will:
Develop analytics to address customer needs and opportunities.
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Work with data engineers on data quality assessment, data cleansing and data analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Share and discuss findings with team members.

Education Qualification

Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Desired Characteristics

Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Technical Expertise:
Demonstrated awareness of data management methods
Demonstrated awareness of real-time analytics development and deployment
Domain Knowledge:
Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
Demonstrated awareness of customer and stakeholder management and business metrics
Leadership:
Demonstrated skill at function in a team setting
Demonstrated awareness of critical thinking and problem solving methods
Demonstrated awareness of presentation and influencing skills
Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances

We will not sponsor individuals for employment visas, now or in the future, for this job opening. Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

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