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Afternoon Data Analyst R Programming Jobs in Emmaus, PA

Senior Data Engineer

Warrington, PA ยท On-site

$103K - $140K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Buckingham, PA ยท On-site

$103K - $140K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Woxall, PA ยท On-site

$103K - $140K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Lansdale, PA

$102K - $139K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Salfordville, PA ยท On-site

$102K - $139K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Souderton, PA ยท On-site

$107K - $145K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Blooming Glen, PA ยท On-site

$101K - $138K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Creamery, PA ยท On-site

$104K - $142K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Salford, PA ยท On-site

$102K - $139K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Mainland, PA ยท On-site

$103K - $140K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Telford, PA

$104K - $142K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Fountainville, PA

$104K - $141K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Schwenksville, PA

$104K - $141K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Green Lane, PA ยท On-site

$102K - $139K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Earlington, PA ยท On-site

$106K - $144K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Silverdale, PA ยท On-site

$100K - $137K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Lederach, PA ยท On-site

$103K - $139K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Sellersville, PA

$102K - $139K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Skippack, PA

$102K - $139K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Senior Data Engineer

Gwynedd, PA ยท On-site

$100K - $137K/yr

Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ... Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

Showing results 41-60

Afternoon Data Analyst R Programming information

See Emmaus, PA salary details

$32.7K

$79.4K

$130.7K

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 Emmaus, PA is $79,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,200.00 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 Emmaus, PA?

For Afternoon Data Analyst R Programming jobs in Emmaus, PA, the most frequently searched job titles are:

What cities near Emmaus, PA are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Emmaus, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,417 per year, or $38.2 per hour.

Senior Data Engineer

Warrington, PA โ€ข On-site

Techvilla Solutions
IT Servicesย โ€ขย 51 - 200 employees

$103K - $140K/yr

Full-time

Posted 8 days ago


Job description

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and data ingestion processes using modern Big Data technologies. The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments.

Roles and Responsibilities
  • Design, develop, and maintain complex data pipelines and data ingestion processes for data lake environments.

  • Develop data transformation processes to aggregate, standardize, link, validate, and load data from multiple sources.

  • Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and Shell scripting.

  • Perform data validation, quality checks, analysis, and troubleshooting to ensure data accuracy and integrity.

  • Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality and pipeline performance.

  • Develop tools and processes to improve data processing efficiency, reliability, and performance.

  • Work with technical and operations teams to troubleshoot complex issues involving databases, Linux environments, storage, and servers.

  • Support production environments and resolve critical data and pipeline issues as needed.

  • Generate statistical and operational reports and perform program/data validation.

  • Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

  • Collaborate with cross-functional teams in an Agile/SAFe environment to deliver projects within defined timelines.

Required Qualifications
  • 8โ€“10 years of overall industry experience with a Bachelorโ€™s degree in Computer Science, Engineering, Information Technology, or a related field.

  • 5+ years of experience in data aggregation, standardization, data linking, quality checks, and reporting.

  • 5+ years of experience with Big Data technologies such as Hadoop and Spark.

  • 5+ years of experience with relational databases such as Oracle and Microsoft SQL Server.

  • Strong experience with SQL, advanced SQL queries, ETL processes, and data integration tools.

  • Strong understanding of Linux environments, shell scripting, and file systems.

  • Hands-on experience with Spark and Scala.

  • Strong data analysis, debugging, troubleshooting, and root-cause analysis skills.

  • Experience working in an Agile development environment.

Preferred Qualifications
  • Experience working with healthcare data or in a healthcare data operations environment.

  • Experience with Hive and additional Big Data technologies.

  • Experience with data lake and large-scale data ingestion platforms.

  • Experience working in Scaled Agile Framework (SAFe) environments.

  • Availability to support production issues outside standard business hours when required.

  • EST time-zone availability is preferred.