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Afternoon Data Analyst R Programming Jobs in Port Wentworth, GA

DHL

Business Data Analyst II

Rincon, GA · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DPDHL

Business Data Analyst II

Rincon, GA

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Skookum Contract Services

Data Analyst I

Fort Stewart, GA · On-site

$69K/yr

Provide cost, schedule, and risk analysis to support planning and programming decisions. * Collect and process data from: ICE (Interactive Customer Evaluation), ArMA work orders and service requests ...

Parker's Kitchen

Retail Business Analyst

Savannah, GA · On-site

Advanced proficiency in data analysis and visualization tools (Excel, Power BI, Tableau) and strong SQL skills (Python/R a plus). * Experience with predictive modeling, segmentation, and advanced ...

Actalent

Quality Engineer

Pooler, GA

$65K - $84K/yr

Quality Engineer This Quality Engineer role focuses on driving continuous improvement in a ... Analyze quality and process data to reduce non-conformances, improve yield, and streamline ...

Fulfillment.com

Be Seen First

Business Systems Analyst/ Associate Product Owner

Savannah, GA · On-site

$75K - $95K/yr

... data, or workflows ○ Clearly define and escalate defects or enhancement needs to developers ● Business Analysis & Requirements ○ Partner with stakeholders to identify supply chain software ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Port Wentworth, GA

Afternoon Data Analyst R Programming information

See Port Wentworth, GA salary details

$32.3K

$78.5K

$129.2K

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

As of Aug 27, 2026, the average yearly pay for afternoon data analyst r programming in Port Wentworth, GA is $78,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,100.00 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Port Wentworth, GA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Port Wentworth, GA are:

What cities near Port Wentworth, GA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Port Wentworth, GA with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Business Data Analyst II

DHL

Rincon, GA • On-site

$55K - $90K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago

DHL rating

6.9

Company rating: 6.9 out of 10

Based on 325 frontline employees who took The Breakroom Quiz

36th of 64 rated delivery companies

Job description

The Business Data Analyst II role has a national salary range of $55,000 - $90,000.
For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.
DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.
Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you!
Job Description
As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You'll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.
Responsibilities
  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Translate complex data into clear, actionable insights through presentations and reports for internal and customer use
  • Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)

Required Experience
  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 0-2 years of experience in data analytics, business intelligence, or a related field, required
  • Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred
  • Proficiency in Power BI, including building dashboards and reports, required
  • Experience writing DAX expressions to automate and enhance Power BI reports, preferred
  • Familiarity with statistical concepts and data modeling techniques, preferred
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred
  • Must be able to work fully onsite if role based out of a warehouse, required

Our Organization is an equal opportunity employer.

What DHL employees say

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Benefits

Hours and flexibility

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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing and personal services

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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