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Afternoon Data Analyst R Programming Jobs in Greenville, SC

Varsity Tutors

Data Science Tutor

Greenville, SC · Remote

$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 ...

Pwc

Data Strategy-Manager

Spartanburg, SC

$99K - $232K/yr

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

Td

AML Business Data Manager

Greenville, SC · On-site

$96K - $155K/yr

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that ...

Pwc

Data Governance- Manager

Spartanburg, SC

$99K - $232K/yr

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

Pwc

Data Strategy-Senior Manager

Spartanburg, SC · On-site

$124K - $280K/yr

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

Stäubli

Master Data Specialist for Sales

Duncan, SC · Hybrid

Work closely with Sales Administration, Supply chain, Quality, Engineering, Planning, and IT ... Provide regular analytics to the Sales Administration Manager. Documentation & Process Ownership

Stäubli

Master Data Specialist for Sales

Duncan, SC · Hybrid

Work closely with Sales Administration, Supply chain, Quality, Engineering, Planning, and IT ... Provide regular analytics to the Sales Administration Manager. Documentation & Process Ownership

Regional Finance

Manager, Data Analytics

Greer, SC · On-site

Manipulate and analyze tradeline-level bureau data to support business use cases * Identify ... Bachelor's degree in Statistics, Math, Engineering, Computer Science (or similar field) * Strong ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Regional Finance

Manager, Data Analytics

Greer, SC

... indata analytics or data science roles * Advanced proficiency inSQL and/or Python(ability to ... Bachelor's degree in Statistics, Math, Engineering, Computer Science (or similar field) * Strong ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Greenville, SC

Afternoon Data Analyst R Programming information

See Greenville, SC salary details

$32K

$77.7K

$127.9K

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

As of Jun 16, 2026, the average yearly pay for afternoon data analyst r programming in Greenville, SC is $77,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 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 the most commonly searched types of Data Analyst R Programming jobs in Greenville, SC? The most popular types of Data Analyst R Programming jobs in Greenville, SC are:
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What job categories do people searching Afternoon Data Analyst R Programming jobs in Greenville, SC look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Greenville, SC are:
What cities near Greenville, SC are hiring for Afternoon Data Analyst R Programming jobs? Cities near Greenville, SC with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Associate Data Analyst

BJU Education Group

Greenville, SC • On-site

Full-time

Posted 13 days ago

Job description

POSITION SUMMARY: Play a supporting role on the Business Intelligence Collaborative team by building reports in Power BI to present analytics which are necessary for decision-making; analyzing daily, weekly, monthly, and yearly financial and operational transactions and preparing reports for BJU Press departments.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
  • Use SQL and DAX to create Microsoft Power BI which produce reports supporting decision-making.
  • Provide quality assurance for other data analyst(s) report builds.
  • Run queries and present the results in a format easily understood by the requestor of the data by using charts and PowerPoint.
  • Use pivot tables and other methods of data manipulation within Excel to help with analyzing data.
  • Maintain Power BI reports by fixing issues as they arise, troubleshooting and solving problems.

REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:
  • Ability to analyze data and communicate the results in reports
  • Ability to troubleshoot and solve problems
  • Basic knowledge of SQL, DAX and programming languages
  • Math/accounting skills with accuracy
  • Detail-oriented
  • Ability to use initiative and work collaboratively
  • Data & Analytics certification

An applicant for a position in the Bob Jones University group - Bob Jones University, Bob Jones Academy or BJU Press - must be a born-again Christian who has a personal relationship with Jesus Christ. Each applicant must agree with and affirm the Bob Jones University creed, mission (see https://www.bju.edu/about/creed-mission.php) and core biblical doctrines regarding areas such as the Bible, the triune God, man and salvation, etc. Employees are expected to maintain a conservative lifestyle and support the group's positions on issues such as beverage alcohol and addictive substances, creation, marriage and human sexuality and the sanctity of life, etc., (https://www.bju.edu/about/positions.php). Employees are to be active members of a local Bible-believing church which holds orthodox theology. Whether in the classroom, online, through student activities, or through the preparation of educational materials for Christian schools and homeschool families, applicants must be committed to providing students an excellent, worldclass education from a biblical worldview that prepares them for a lifetime of service for Jesus Christ.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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