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Afternoon Data Analyst R Programming Jobs (NOW HIRING)

Centraprise

Data Analyst

Santa Clara, CA · On-site

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

J.R. Simplot Company

Sr Data Analyst

Boise, ID

$81.90K - $103.30K/yr

The J.R. Simplot Company is a diverse, privately held global food and agriculture company ... Partners with engineers and product stakeholders to capture, refine, and implement functional ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

... SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

The Garrett Group

Data Analyst

NE · On-site

Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering ... Python * R * Business Intelligence tools * Data cleaning and data wrangling methodologies

RELX Group plc

Data Analyst

Manhattan, NY · On-site +1

$72.50K/yr

Familiarity with Python and/or R programming * Experience with data visualization techniques ... and analytics that help customers increase their productivity, improve decision-making, achieve ...

360 IT Professionals

DATA ANALYST

Dallas, TX

... programming concepts Experience with statistical tools and concepts (R, SPSS, SAS) Preferred skill set: Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data ...

LexisNexis

Data Analyst

$72.50K/yr

Familiarity with Python and/or R programming * Experience with data visualization techniques ... and analytics that help customers increase their productivity, improve decision-making, achieve ...

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

SQL programming language. * R programming language. * Skywise Palantir. * Domo. * SAS. * Web ... Experience with advanced analytics and big data tools. * Familiarity with NLP, deep learning ...

Highlight Technologies

Data Analyst

Madison, WI

The Data Analyst position provides complex and high-quality data analysis in support of WFAA ... Experience with a data science programing language such as R or Python. Proficiency with at least ...

New

Tria Federal

Data Analyst

Washington, DC · On-site

Experience with programming languages (e.g. R, Python, XML, Javascript, ETL Frameworks) and ... Experience with Big Data and analysis of large data sets (AI/ML methods and approaches)

New

CodersData LLC

Data Analyst

Cheyenne, WY · On-site

Collaborate with data engineers to optimize the data platform to product the analysis results in ... R. * Demonstrated ability to effectively engage, collaborate, and consult with stakeholders ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation:

CodersData, LLC

Data Analyst

Cheyenne, WY

Collaborate with data engineers to optimize the data platform to product the analysis results in ... R. * Demonstrated ability to effectively engage, collaborate, and consult with stakeholders ...

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

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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.

More about Afternoon Data Analyst R Programming jobs
What cities are hiring for Afternoon Data Analyst R Programming jobs? Cities with the most Afternoon Data Analyst R Programming job openings:
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Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 13% Part Time, 5% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

KGS Technology Group Inc

Alpharetta, GA

Full-time

Posted 5 days ago

Job description

Job Description

Full-Time

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. 

 Responsibilities 

Interpret data, analyze results using statistical techniques and provide ongoing reports 

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality 

Acquire data from primary or secondary data sources and maintain databases/data systems 

Identify, analyze, and interpret trends or patterns in complex data sets 

Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems 

Work with management to prioritize business and information needs 

Locate and define new process improvement opportunities Requirements And Skills 

Proven working experience as a Data Analyst or Business Data Analyst 

Technical expertise regarding data models, database design development, data mining and segmentation techniques 

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks) 

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) 

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 

Adept at queries, report writing and presenting findings 

BS in Mathematics, Economics, Computer Science, Information 

Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality

Additional Information

Full-time

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