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Afternoon Data Analyst R Programming Jobs in Columbia, PA

Quality Engineer

Columbia, PA · On-site

$69K - $90K/yr

Conduct Measurement System Analysis (MSA) including Gage R&R, and optimize measurement techniques ... Data Analysis & Continuous Improvement * Utilize data to identify trends, risks, and improvement ...

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process ... Provide leadership to migration developers, analysts, and technical teams. * Oversee development ...

Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions. KEY RESPONSIBILITIES: * Design and ...

Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions. KEY RESPONSIBILITIES: * Design and ...

Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions. KEY RESPONSIBILITIES: * Design and ...

Data Engineer

Lititz, PA · On-site

$106K - $127K/yr

Analytics Enablement and Data Products * Translate high-value business questions into well-defined ... Own engineering work from discovery through production support, including estimation, design ...

Computer Science, Engineering, Information Systems, etc.) or equivalent work experience will be considered * 5+ years of experience in master data management, data analytics, data engineering, or a ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Columbia, PA salary details

$32.9K

$80.1K

$131.7K

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

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in Columbia, PA is $80,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $94,000.00 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 Columbia, PA are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Columbia, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,055 per year, or $38.5 per hour.

Quality Engineer

Columbia, PA • On-site

ASC Engineered Solutions, LLC
Machinery Manufacturing • 1 - 5K employees

$69K - $90K/yr

Full-time

Re-posted 19 days ago


ASC Engineered Solutions rating

6.0

Company rating: 6.0 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

The Quality Engineer supports and improves product, process, and system quality within an iron foundry environment. This role ensures that castings meet customer, regulatory, and industry requirements by leading quality systems activities, driving root cause analysis, and strengthening process capability. The Quality Engineer collaborates closely with operations, engineering, suppliers, and customers to maintain and elevate performance. 
Quality Systems & Compliance 
  • Maintain and improve core quality system documents, including Control Plans, PFMEAs, and inspection methods. 
  • Author and update work instructions, test methods, standard operating procedures, and other quality documentation. 
  • Support Management of Change (MOC), including validation, qualification, and documentation. 
Root Cause Analysis & Corrective Actions 
  • Lead structured problem solving using 8D, 5-Why, Fishbone, and similar methodologies. 
  • Own corrective action activities, ensuring timely closure, robust verification, and effectiveness checks. 
Process Capability & Measurement 
  • Improve process capability by designing SPC strategies, control charts, and sampling plans. 
  • Conduct Measurement System Analysis (MSA) including Gage R&R, and optimize measurement techniques and equipment selection. 
New Product Introduction & Customer Requirements 
Lead or support PPAP activities, including PSW preparation, dimensional reports, capability studies, and validation documentation. 
  • Interpret customer specifications, inspection requirements, and special characteristics; ensure compliance across the manufacturing process. 
Supplier Quality 
  • Support supplier quality activities, including incoming inspection plans, SCAR management, performance tracking, and supplier auditing. 
  • Partner with suppliers to resolve nonconformities and drive continuous improvement. 
Data Analysis & Continuous Improvement 
  • Utilize data to identify trends, risks, and improvement opportunities in scrap, rework, dimensional variation, and customer returns. 
  • Participate in or lead Continuous Improvement projects focusing on quality, throughput, and cost reduction within the foundry process. 
Required 
  • Bachelor's degree in Engineering, Materials Science, Manufacturing Technology, or related field; equivalent foundry/quality experience considered. 
  • Working knowledge of APQP,  SPC, PFMEA, and Control Plans. 
  • Strong analytical capabilities and proficiency in Microsoft Office; familiarity with statistical software is a plus. 
  • Excellent communication, problem-solving, and cross-functional teamwork skills. 
Preferred 
  • Experience with ISO 9001 or similar quality management systems. 
  • Experience with metals manufacturing, machining, or foundry processes. 
  • Knowledge of casting and machining processes (green sand, pattern design, metallurgy, CNC, etc.). 
Physical and Work Environment Requirements 
  • Daily interaction with production areas including melting, molding, finishing, and machining. 
  • Ability to lift up to 25 lbs and use measurement instruments (calipers, micrometers, CMM interfaces, etc.) safely. 
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