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Afternoon Data Analyst R Programming Jobs in Fort Lawn, SC

Techvilla Solutions

Lead Data Engineer

Fort Mill, SC · On-site

$90K - $118K/yr

We are seeking a Lead Data Engineer with strong experience in delivering enterprise-scale cloud data and analytics solutions. The ideal candidate will have expertise in Google Cloud Platform (GCP ...

ASSA ABLOY Group

BI Analyst / Developer

Monroe, NC · On-site

The BI Analyst/Developer role serves as a key link between business stakeholders and technical ... Fabric, including data ingestion, pipelines, lakehouse and warehouse structures, medallion ...

mlp

Engineering Technician 1

York, SC · On-site

... and data analysis. Competencies/ Skills * Ability to interpret work instructions * Ability to ... C - Continuous, F - Frequently, O - Occasionally, R - Rarely

mlp

Engineering Technician 1

York, SC

... and data analysis. Competencies/ Skills * Ability to interpret work instructions * Ability to ... C - Continuous, F - Frequently, O - Occasionally, R - Rarely

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Fort Lawn, SC

Afternoon Data Analyst R Programming information

See Fort Lawn, SC salary details

$29.6K

$72K

$118.5K

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

As of Aug 19, 2026, the average yearly pay for afternoon data analyst r programming in Fort Lawn, SC is $72,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 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 cities near Fort Lawn, SC are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Fort Lawn, SC with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Fort Lawn, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,001 per year, or $34.6 per hour.

Lead Data Engineer

Techvilla Solutions

Fort Mill, SC • On-site

$90K - $118K/yr

Full-time

Posted 5 days ago

Job description

We are seeking a Lead Data Engineer with strong experience in delivering enterprise-scale cloud data and analytics solutions. The ideal candidate will have expertise in Google Cloud Platform (GCP), technical project leadership, and end-to-end delivery of modern data platforms while leading cross-functional teams in an Agile environment.

Roles and Responsibilities
  • Lead the delivery of enterprise data engineering and cloud data platform initiatives.
  • Manage multiple concurrent projects across data ingestion, transformation, storage, analytics, and reporting.
  • Drive end-to-end project execution from planning through deployment and production support.
  • Collaborate with Engineering, Architecture, Security, Infrastructure, Data Governance, and Business teams.
  • Ensure adherence to Agile, SDLC, DevOps, and DataOps best practices.
  • Monitor project timelines, risks, dependencies, and deliverables.
  • Provide technical leadership and stakeholder communication throughout project execution.
Required Qualifications
  • 8+ years of experience in Technology Delivery, Program Management, or Technical Project Leadership.
  • 5+ years of experience delivering cloud-based Data & Analytics solutions.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Proven experience leading large-scale data platform implementations.
  • Strong understanding of data engineering concepts, cloud technologies, and enterprise data platforms.
  • Experience working with Agile methodologies, SDLC, DevOps, and DataOps practices.
  • Excellent leadership, communication, and stakeholder management skills.

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