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Afternoon Data Analyst R Programming Jobs in Lancaster, PA

ASC Engineered Solutions

Data Analyst

Columbia, PA · On-site

Columbia, PA - Plant Description ASC Engineered Solutions is seeking a Data Analyst, a high‑impact, operations‑focused role supporting supply chain excellence across our Columbia, PA ...

ASC Engineered Solutions

Data Analyst

Columbia, PA · On-site

ASC Engineered Solutions is seeking a Data Analyst, a highimpact, operationsfocused role supporting supply chain excellence across our Columbia, PA, manufacturing operations. If you're a driven ...

Penske

Data Analyst

Reading, PA

At least 3 years data analytics experience required At least 3 years of business or operational experience preferred Bachelors in Engineering, Mathematics, Statistics, or Data Science/Analytics ...

Penske

Data Analyst

Reading, PA · On-site

... Engineering, Mathematics, Statistics, or Data Science/Analytics preferred • Strong analytical skills required • Independent problem solving skills required • Strong oral and written ...

Pretzels, Inc

Packaging Data Analyst

Hershey, PA · On-site

Pretzels, Inc is seeking a Packaging Data Analyst to partner with packaging development engineers on various projects. The role involves managing packaging specifications, ensuring data integrity ...

The Hershey Company

Packaging Data Analyst

Hershey, PA · On-site

Partner with packaging development engineers to complete new development, graphic update, and ... Report generation and analysis of data internal and external to SAP to comply with sustainability ...

Hersheys

Packaging Data Analyst

Hershey, PA · On-site

Partner with packaging development engineers to complete new development, graphic update, and ... Report generation and analysis of data internal and external to SAP to comply with sustainability ...

Johnstone Supply

Inventory Data Analyst

Lancaster, PA · On-site

$55K - $65K/yr

Bachelor's degree in a field like statistics, data analytics, business analytics, supply chain management, or industrial engineering * 3+ years of experience in inventory, operations, or supply chain ...

Johnstone Supply

Inventory Data Analyst

Lancaster, PA · On-site

$55K - $65K/yr

Bachelor's degree in a field like statistics, data analytics, business analytics, supply chain management, or industrial engineering * 3+ years of experience in inventory, operations, or supply chain ...

WebstaurantStore

Sr. Marketing Data Analyst

Lititz, PA · Remote

$80.10K - $99.60K/yr

Document and manage work items in Azure DevOps Physical Requirements * Work is performed while ... Python or R Studio * Proficiency with MS Office required (Outlook, Word, Excel, PowerPoint)

GSK

MSAT Digital and Data Specialist

Marietta, PA · On-site

Proficiency in Data Analytics Software: Advanced skills in programming languages and tools such as Python, R, SQL, and data visualization tools like Power BI. * Experience with Digital Tools and ...

SynergisticIT

Junior Data Engineer

Reading, PA · On-site

Data analysts/Data Scientists * Machine Learning engineers Who should apply? Recent Computer Science/Engineering/Mathematics/Statistics or Science graduates or people looking to switch careers or who ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Lancaster, PA

Afternoon Data Analyst R Programming information

See Lancaster, PA salary details

$33K

$80.3K

$132.2K

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

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Lancaster, PA is $80,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,300.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 most commonly searched types of Data Analyst R Programming jobs in Lancaster, PA? The most popular types of Data Analyst R Programming jobs in Lancaster, PA are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Lancaster, PA? For Afternoon Data Analyst R Programming jobs in Lancaster, PA, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Lancaster, PA look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Lancaster, PA are:
What cities near Lancaster, PA are hiring for Afternoon Data Analyst R Programming jobs? Cities near Lancaster, PA with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

ASC Engineered Solutions

Columbia, PA • On-site

Full-time

Posted 13 days ago

ASC Engineered Solutions rating

6.7

Company rating: 6.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

Data Analyst
Department: Operations & Supply Chain
Employment Type: Full Time
Location: Columbia, PA - Plant
Description
ASC Engineered Solutions is seeking a Data Analyst, a high‑impact, operations‑focused role supporting supply chain excellence across our Columbia, PA, manufacturing operations.
If you're a driven Supply Chain professional with a passion for operational performance, cost analytics, and data‑driven decision‑making, this is your opportunity to influence the future of a dynamic, evolving business. As a key financial partner to plant leadership, you'll go beyond reporting, you'll shape decisions, improve performance, and unlock value across the plant. Your insights will directly support profitability, operational agility, and long‑term growth.
Join a company that values innovation, accountability, and operational excellence. At ASC Engineered Solutions, your impact will be felt on the shop floor, in leadership discussions, and across the enterprise.
Key Responsibilities
  • Analyze supply chain data to identify trends, inefficiencies, and opportunities for cost reduction and performance improvement
  • Collaborate with procurement, production, engineering, and other functions to align material planning with build schedules
  • Monitor inventory levels, forecast demand, and recommend optimal stocking strategies for all products
  • Support supplier performance management by tracking delivery timelines, quality metrics, and pricing trends
  • Develop and maintain reports and dashboards related to inventory, lead times, and supplier reliability
  • Assist in the development of sourcing strategies for critical materials
  • Identify risks in the supply chain (e.g., shortages, delays) and propose mitigation plans
  • Participate in continuous improvement initiatives to streamline logistics, warehousing, and production flow

Skills, Knowledge & Expertise
  • Bachelor's degree in Supply Chain Management, Business, Operations, or a related field
  • 3-5 years of experience in supply chain, manufacturing, or logistics
  • Strong analytical and problem-solving skills
  • Advanced proficiency in Excel (formulas, pivot tables, coding); experience with Power BI, ERP/MRP systems required
  • Familiarity with manufacturing environments
  • Excellent communication and cross-functional collaboration skills
  • Ability to manage multiple priorities in a fast-paced production environment

What ASC Engineered Solutions employees say

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