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Afternoon Data Analyst R Programming Jobs in Lewisberry, PA

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Build data analytics solutions using Azure Synapse serverless SQL pools and perform data engineering with Azure Synapse Apache Spark Pools. * Monitor, troubleshoot, and optimize data systems and ...

D&H

Sr Data Engineer - Data Platform

Harrisburg, PA

$113K - $135K/yr

The Data Engineer will need to be analytical, technically inclined, detail-oriented, visually focused, and a self-learner. As a Subject Matter Expert in technical requirements, this role is critical ...

Cleveland Brothers

Data Steward

Harrisburg, PA · On-site

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 ...

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

Afternoon Data Analyst R Programming information

See Lewisberry, PA salary details

$33.3K

$80.8K

$133K

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

As of Aug 17, 2026, the average yearly pay for afternoon data analyst r programming in Lewisberry, PA is $80,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,900.00 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 Lewisberry, PA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Lewisberry, PA 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 Lewisberry, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,831 per year, or $38.9 per hour.

Data Engineer - onsite

System One

Hanover, PA • On-site

$110K - $132K/yr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description

Job Title: Data Engineer Location: Hanover, MD Type: Contract Compensation: 55-70/hr W-2, depending on experience Work Model: Onsite US Citizenship required by federal client

Responsibilities

  • Assign a dedicated Data Engineer to serve as the primary technical resource for data integration, migration, implementation, and post-deployment support activities throughout the project lifecycle.
  • Design and configure the Azure Synapse environment, including implementing private endpoint connectivity and developing linked services.
  • Migrate existing pipelines, convert Talend ETL jobs, and validate source-to-target data accuracy.
  • Troubleshoot technical issues and support system integration testing, user acceptance testing, production deployment, and operational stabilization.
  • Provide technical guidance, documentation, knowledge transfer, and ongoing collaboration with cloud infrastructure, cybersecurity, database administrators, application owners, and business stakeholders.
  • Build data analytics solutions using Azure Synapse serverless SQL pools and perform data engineering with Azure Synapse Apache Spark Pools.
  • Monitor, troubleshoot, and optimize data systems and pipelines for high availability and performance.
  • Work with Data Warehouses, Data Lakes, and Data Marts using Azure Synapse Analytics.
  • Transfer and transform data with Azure Synapse Analytics pipelines and optimize data storage solutions.
  • Design and implement data storage solutions using Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database.
  • Develop and maintain schematics, architectures, and databases for advanced analytics.
Requirements
  • Experience with Agile Development methodologies.
  • Data Warehouse experience.
  • Knowledge of DevOps practices.
  • Proficiency with Azure Data Factory and Synapse Analytics for data conversions, imports, and exports.
  • Experience automating tasks with scripting tools like PowerShell.
  • Familiarity with Azure Cloud Technologies such as Power Apps and Dataverse.
  • Ability to integrate data from multiple sources, ensuring data quality and security.
  • Minimum of eight (8) years of software development experience.
  • Hands-on experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics.
  • Expertise in software development using C#, ASP.NET, Web Services/APIs.
  • Experience with Microsoft DevOps or GitHub and Azure Cloud Services certification or experience.
  • Prior experience with Java/.NET and JavaScript preferred.
  • Familiarity with Oracle and SQL databases.
  • Strong communication, collaboration, and customer service skills.
  • Educational background in computer science, statistics, mathematics, economics, or related fields; a bachelor’s or master’s degree required, with substitution of 3 years of experience possible.
  • Previous experience with Maryland Department of Transportation (MDOT) is a plus.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-2 #LI-CK1 Ref: #856-Baltimore-S1