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Afternoon Data Analyst R Programming Jobs (NOW HIRING)

Redolent, Inc

Data Analyst

Bentonville, AR

... programming and data analytics Proficient is Sql and no-sql languages, R, Python Worked on gathering data from Cassandra, Kafka, MongoDBs. Work with big data on GCP and Azure. Handled multi-million ...

TMS

Data Analyst

Lake Mary, FL · On-site

$55 - $62/hr

Technical Skills Proficiency in SQL and experience with programming languages such as Python or R Analytical Skills Strong ability to analyze model and interpret data with experience in statistical ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91.10K - $114.90K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data ... Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field

Purple Drive Technologies

Data Analyst

Charlotte, NC · On-site

Familiarity with Python (Pandas, NumPy) or R for statistical analysis. * Understanding of data modeling concepts and collaboration with Data Engineers. * Excellent communication and presentation ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91.10K - $114.90K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data ... Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field

Collabera

Lead Datawarehouse /Big Data

Torrance, CA

Java, Linux, Apache, Perl/Python), especially the R programing. * Experience with Hadoop Security ... Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ...

campus4tech

Data Analyst/Developer

Grand Prairie, TX · On-site

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

Knapheide Manufacturing

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem‑solving, and team collaboration ...

1 point system

Data Analyst

Sunnyvale, CA · On-site

... engineering roadmaps. • Advanced proficiency in SQL, with experience working on cloud data platforms (e.g., BigQuery, Redshift, Snowflake). • Strong experience with Python or R for data analysis ...

Greater Nashua Mental Health

Data Analyst

Nashua, NH · On-site

Proficiency in SQL and statistical programming languages (Python, R, SAS, or similar). * Experience with data visualization tools such as Tableau or Power BI. * Strong analytical and problem-solving ...

Knapheide Manufacturing

Data Analyst

Quincy, IL · On-site

$60K - $80K/yr

Proficiency in data analysis tools and programming languages (SQL, Python, R, etc.) * Excellent communication and interpersonal skills * Strong analytical, problem-solving, and team collaboration ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Significant experience with data analysis software such as Python, R, or Matlab. * Experience ...

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$82.6K

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

As of May 30, 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:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Afternoon Data Analyst R Programming jobs? States with the most job openings for Afternoon Data Analyst R Programming jobs include:
What job categories do people searching Afternoon Data Analyst R Programming jobs look for? The top searched job categories for Afternoon Data Analyst R Programming jobs are:
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

Redolent, Inc

Bentonville, AR

Other

Posted 12 days ago

Job description


One of our direct client is urgently looking for a Data Analyst @ Bentonville AR
TITLE: Data Analyst
LOCATION:Bentonville, AR
Duration: 6 to 12+ Months
Rate: DOE
Job Duties:
Analyze, document and design data objects, data quality rules, and data quality tests to be landed and executed. Create resilient, and sustainable and Data Object Designs and Data Quality Rules. Be a product-oriented Data Analyst creating and experimenting with new ideas that will engage and excite our customers
Analyze complex data to identify patterns, detect anomalies in data using statistical tools as well as machine learning algorithms if required.
Collect customer requirements, determine technical issues, conduct analytics, and report insights and findings to executives and engineering teams.
Identify new sources of data and methods to improve data collection, analysis, and reporting. Collect, analyze, and report data to meet customer needs.
Evaluate various analytical/statistical methods and procedures and provide recommendation of relevance, applicability, efficiency to Walmart Catalog and Supply areas
Work with cross functional group consisting of Engineering, Product, Program managers to drive data-based decisions
Your Qualifications
Bachelor's degree in computer science or related discipline with 4+ years' experience
Practical experience with SAS, ETL, data processing, database programming and data analytics
Proficient is Sql and no-sql languages, R, Python
Worked on gathering data from Cassandra, Kafka, MongoDBs. Work with big data on GCP and Azure.
Handled multi-million records of data. Troubleshooting and fixing data issue
Data Visualization in any BI tools like Tableau, PowerBI, etc.,
Collected, analyzed, and reported data to meet customer needs.
Understanding and application of statistical concepts to solve business problems
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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