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Afternoon Data Analyst R Programming Jobs in Elizabethtown, PA

TAIT

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 ...

Tait

Data Engineer

Lititz, PA

$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 ...

Tait Towers Manufacturing LLC

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 ...

New

D&H

Sr Data Engineer - Data Platform

Harrisburg, PA

$113K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

D&H Distributing

Sr Data Engineer - Data Platform

Harrisburg, PA · On-site

$113K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

New

Cleveland Brothers

Data Steward

Harrisburg, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Cleveland Brothers Equipment

Data Steward

Harrisburg, PA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Morph Enterprise LLC

Data Architect

Harrisburg, PA · On-site

$63 - $81/hr

... services, data analytics and AI solutions. This is a technical leadership position for the ... The position establishes engineering practices, implementation standards, automation, and shared ...

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

Afternoon Data Analyst R Programming information

See Elizabethtown, PA salary details

$30.6K

$74.4K

$122.5K

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 Elizabethtown, PA is $74,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Elizabethtown, PA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Elizabethtown, PA are:

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

Cities near Elizabethtown, 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 Elizabethtown, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $74,423 per year, or $35.8 per hour.

Data Platform Architect

Global Data Consultants

Harrisburg, PA • On-site

$63 - $81/hr

Full-time

Posted 6 days ago

Job description

Overview

GDC IT Solutions is currently seeking an Data Platform Architect to work in a hybrid capacity, with 3-4 days on-site per month in Harrisburg, PA. 

GDC IT Solutions is currently seeking an Data Platform Architect to provide technical leadership in the development and continual evolution of the Commonwealth’s enterprise data platforms. This position will design and engineer secure, scalable, cloud-based data products and shared services that enable agencies to modernize digital services, analytics, and AI capabilities through standardized, reusable enterprise solutions.


Responsibilities
  • Define the target architecture and multi-year roadmap for the Commonwealth’s enterprise data platform in alignment with enterprise modernization initiatives.
  • Design, engineer, and continually evolve scalable cloud-based data platforms and shared services that support multiple agencies and delivery teams.
  • Build the initial MVP and mature the enterprise cloud data platform through standardized engineering practices, operational guardrails, and reusable capabilities.
  • Design secure multi-tenant environments capable of supporting multiple agencies while addressing data co-mingling, isolation, and governance considerations.
  • Establish enterprise engineering standards, implementation patterns, automation practices, and operational processes for data platform development and management.
  • Design and implement reusable platform services and onboarding patterns that enable agencies to consume standardized enterprise capabilities rather than develop agency-specific solutions.
  • Partner with CISO, Cloud Engineering, Governance, Risk, and Compliance teams to integrate IAM, RBAC, encryption, auditing, and other enterprise security controls into cloud data platforms.
  • Develop data products identified by Product teams and establish infrastructure capable of supporting AI and advanced analytics initiatives.
  • Implement modern DevSecOps practices and champion a shift-left approach to security throughout the platform engineering lifecycle.
  • Promote API-first, product-based approaches to enterprise information sharing and data service delivery.
  • Evaluate emerging technologies and determine how they can be incorporated while maintaining architectural consistency and enterprise standards.
  • Develop and promote engineering best practices across enterprise data platform teams.
  • Collaborate with technology leaders, solution architects, data teams, and enterprise technology organizations to align modernization initiatives and deliver enterprise data products.
  • Lead through influence by communicating complex technology concepts effectively to both technical and non-technical stakeholders.

Minimum Qualifications
  • 10+ years of experience building and supporting large-scale cloud data platforms.
  • 7+ years of hands-on experience in modern data architecture, platform engineering, and cloud infrastructure.
  • Proven experience designing and implementing enterprise-scale cloud data platforms supporting multiple teams, business units, or organizations.
  • Strong experience designing and implementing enterprise security controls for cloud data platforms, including Identity and Access Management (IAM) and Role-Based Access Control (RBAC).
  • Proven hands-on experience building and operating cloud infrastructure using Infrastructure as Code, such as Terraform or equivalent technologies.
  • Hands-on experience implementing modern DevSecOps practices, including integrating security throughout the software and platform development lifecycle.
  • Experience with modern data and cloud platforms such as Snowflake, Databricks, AWS, Azure, and containerized applications.
  • Experience partnering with Cloud Engineering, CISO, and Governance, Risk, and Compliance teams to implement security controls while maintaining clear ownership boundaries.
  • Bachelor’s degree in Computer Science, Information Systems, Systems Programming, or a related field, or an equivalent combination of relevant education and experience.
  • Strong ability to communicate complex technology concepts to non-technical audiences and enterprise stakeholders.
  • Experience building an enterprise data platform from the ground up and evolving it from an MVP into a mature shared enterprise capability.
  • Experience designing reusable enterprise platform patterns and shared services rather than developing individual agency or business-unit solutions.
  • Experience supporting data platforms across multiple agencies, business units, or enterprise delivery teams.
  • Experience developing AI-ready data infrastructure and enterprise data products.
  • Experience establishing enterprise onboarding patterns that enable organizations to adopt shared cloud data services.
  • Experience with API-first architectures and product-based approaches to enterprise information sharing.
  • Experience evaluating emerging cloud and data technologies while maintaining enterprise architectural standards and consistency.
  • Demonstrated ability to lead cross-functional technical initiatives through influence without direct reports.

What We Do:

Working for GDC means you will be at the forefront of the technological world. We are a full-service staffing and Information Technology service company striving to make a difference in our communities by finding, developing, and deploying solutions.

Why Work for GDC?

  • Cutting Edge Technology and Innovation
  • Career Growth Opportunities
  • Employee-Centric Environment
  • Comprehensive Benefits Package
  • Holiday and Vacation

Equal Opportunity Workplace:

GDC is an equal opportunity employer and welcomes applicants from all diverse backgrounds to apply. Our goal as an organization is to empower our teams to achieve their personal best and foster their professional growth regardless of race, ancestry, religion, sex, gender, national origin, sexual orientation, age, citizenship, marital status, physical ability or disability, or veteran status.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification forms upon hire.

Visit our Career Center for the latest employment opportunities.

© Global Data Consultants, PA USA

Qualifications:
  • 10+ years of experience building and supporting large-scale cloud data platforms.
  • 7+ years of hands-on experience in modern data architecture, platform engineering, and cloud infrastructure.
  • Proven experience designing and implementing enterprise-scale cloud data platforms supporting multiple teams, business units, or organizations.
  • Strong experience designing and implementing enterprise security controls for cloud data platforms, including Identity and Access Management (IAM) and Role-Based Access Control (RBAC).
  • Proven hands-on experience building and operating cloud infrastructure using Infrastructure as Code, such as Terraform or equivalent technologies.
  • Hands-on experience implementing modern DevSecOps practices, including integrating security throughout the software and platform development lifecycle.
  • Experience with modern data and cloud platforms such as Snowflake, Databricks, AWS, Azure, and containerized applications.
  • Experience partnering with Cloud Engineering, CISO, and Governance, Risk, and Compliance teams to implement security controls while maintaining clear ownership boundaries.
  • Bachelor’s degree in Computer Science, Information Systems, Systems Programming, or a related field, or an equivalent combination of relevant education and experience.
  • Strong ability to communicate complex technology concepts to non-technical audiences and enterprise stakeholders.
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