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Afternoon Data Analyst R Programming Jobs in Pennsylvania

ASC Engineered Solutions, LLC

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. * Analyze supply chain ...

City of Pittsburgh

Data Analyst

Pittsburgh, PA · On-site

$79K/yr

... data engineering efforts conducted by the Data Services Team. Department: Innovation and ... Performs geospatial analysis related to dashboards and data visualizations. Audits and provides ...

Judge Group, Inc.

Data Analyst

Bridgeport, PA · On-site

$70K - $85K/yr

Data Analyst (Power BI/SQL) Location: Conshohocken, PA Salary: $70,000 - $85,000 Overview We are ... Experience with version control tools (e.g., Azure DevOps Git) * Exposure to data governance ...

University of Pittsburgh

Data Analyst I

Pittsburgh, PA · On-site

Data Analyst is expected to be familiar with coding in R and, ideally, have familiarity with multivariable generalized linear models (e.g., logistic regression, survival models, log-normal regression ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

CNCSINFOTECH LLC

Data Analyst

Philadelphia, PA

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop automated solutions to analyze, correlate and report data and insights to stabilize and scale our self ...

Tata Consultancy Service Limited

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

Experience with data visualization tools (Power BI, Tableau). * Basic programming knowledge (Python or R). * Strong analytical and problem-solving abilities. * Good communication and presentation ...

Chubb

Senior Data Analyst

Philadelphia, PA

$86K - $109K/yr

SQL, Python, R). * Strong data analysis skills, with the ability to synthesize data, identify and ... Bachelor's degree with focus on Computer Science, Statistics, Mathematics, Programming, MIS, or ...

Trumark Credit Union

Data Analyst

Fort Washington, PA · On-site

Collaborate with analysts, engineers, and business stakeholders to improve data models, reporting structures, and analytical workflows. * Support the development and consistent use of governed ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

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Afternoon Data Analyst R Programming information

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

Columbia, PA • On-site

Full-time

Posted 21 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

ASC Engineered Solutions is seeking a Data Analyst, a highimpact, operationsfocused role supporting supply chain excellence across our Columbia, PA, manufacturing operations.
  • 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

  • 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

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