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Afternoon Data Analyst R Programming Jobs in West Columbia, SC

Mobius Renewables

Logistics Engineer

Lugoff, SC · On-site

Data Tools: Advanced skills in SQL querying, Python/R programming for data analysis, and Microsoft Excel (macros, pivot tables). * Industry Knowledge: Deep understanding of Department of ...

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$18 - $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 ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

Responsibilities : • Proven working experience as a data analyst or business data analyst • ... SQL etc), programming (xml, Javascript, or ETL frameworks) • Knowledge of statistics and ...

Pwc

Data Strategy-Manager

Columbia, 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 ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

Proven working experience as a data analyst or business data analyst Technical expertise regarding ... programming (xml, Javascript, or ETL frameworks) Knowledge of statistics and experience using ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

DEVELOPS AND REFINES TECHNIQUES FOR COMPUTER ANALYSIS AND PRESENTATION OF DATA. • PREPARES CHARTS ... SQL ETC), PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) • KNOWLEDGE OF STATISTICS AND ...

Infojini Inc

Data Architect

Columbia, SC

$59 - $75.75/hr

INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP ... PROGRAMMING (XML, JAVASCRIPT, OR ETL FRAMEWORKS) KNOWLEDGE OF STATISTICS AND EXPERIENCE USING ...

Pwc

Data Governance- Manager

Columbia, 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 & Governance -Director

Columbia, SC · On-site

$155K - $410K/yr

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

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in West Columbia, SC

Afternoon Data Analyst R Programming information

See West Columbia, SC salary details

$31.5K

$76.6K

$126K

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

As of Sep 1, 2026, the average yearly pay for afternoon data analyst r programming in West Columbia, SC is $76,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,900.00 and $89,900.00 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in West Columbia, SC?

For Afternoon Data Analyst R Programming jobs in West Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in West Columbia, SC look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in West Columbia, SC are:

What cities near West Columbia, SC are hiring for Afternoon Data Analyst R Programming jobs?

Cities near West Columbia, SC with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Logistics Engineer

Lugoff, SC • On-site

Mobius Renewables
See more jobs at Mobius Renewablesexternal

Full-time

Re-posted 12 days ago

Job description

At Mobius Renewables, we're helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We're a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy.
Position Summary:
We are seeking a data-driven and analytical Trucking Logistics Engineer to design and optimize our regional and national freight transportation networks. In this role, you will be responsible for evaluating lane performance, identifying cost-saving opportunities, and utilizing advanced Transportation Management Systems (TMS) to build predictive routing models. You will work closely with fleet operations, safety compliance, and dispatch teams to ensure maximum asset utilization and superior on-time delivery performance.
Key Responsibilities:
  • Network Optimization: Design and implement mathematical models to evaluate lane profitability, backhaul opportunities, and multi-stop route patterns.
  • Freight Data Analytics: Extract, clean, and interpret massive freight datasets using SQL, Python, or Excel to identify transit bottlenecks and fuel inefficiencies.
  • Dashboard Development: Build and maintain interactive performance tracking dashboards using Tableau or Power BI to visualize key metrics like cost-per-mile, empty miles, and driver utilization.
  • Capacity Planning: Forecast seasonal freight volumes and align asset availability (tractors, trailers, and drivers) with regional demand fluctuations.
  • Technology Integration: Serve as the technical administrator or super-user for the corporate Transportation Management System (TMS) and driver telematics hardware.
  • Process Improvement: Apply Lean Six Sigma methodologies to eliminate operational waste in terminal operations, cross-docking facilities, and driver drop-and-hook workflows.
  • Vendor & Carrier Management: Collaborate with third-party logistics (3PL) providers and owner-operators to negotiate freight spot rates and scale capacity when needed.

Qualifications:
  • Education: Bachelor's degree in Industrial Engineering, Supply Chain Management, Logistics, Operations Research, or a highly quantitative field.
  • Experience: 3+ years of experience in transportation engineering, fleet logistics, or freight network analytics.
  • Hazardous Materials: Hazmat certification and/or experience
  • Technical Software: High proficiency with leading TMS platforms (e.g., SAP TM, Oracle OTM, Blue Yonder) and routing optimization tools.
  • Data Tools: Advanced skills in SQL querying, Python/R programming for data analysis, and Microsoft Excel (macros, pivot tables).
  • Industry Knowledge: Deep understanding of Department of Transportation (DOT) Hours of Service (HOS) regulations, ELD compliance, CSA scoring system, and asset-based trucking constraints.
  • Problem-Solving: Strong root-cause analysis skills with a proven track record of reducing freight cost-per-mile or increasing trailer utilization.

Preferred Skills:
  • Master's degree in Industrial Engineering or Supply Chain Management.
  • Certified in Transportation and Logistics (CTL) or Lean Six Sigma Green/Black Belt.
  • Prior experience managing a private or dedicated commercial fleet.

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