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Afternoon Data Analyst R Programming Jobs in Lewisberry, PA

Cleveland Brothers Equipment

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 ...

Entarian

Data Architect

Mechanicsburg, PA · On-site +1

$150 - $180K/hr

The Data Architect will be responsible for database design, data analytics, data retention ... AWS Certified Cloud Practitioner, Data Engineer, Solutions Architect or similar equivalent Cloud ...

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 ...

SmartIPlace

Data Engineer[Hybrid-remote]

Harrisburg, PA · On-site

$113K - $135K/yr

The Department of Community and Economic Development is actively seeking a data engineer to serve as the lead for performance management, analytics, and reporting for the Pennsylvania Broadband ...

TriosysIT Inc.

Data Platform 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 ...

Unikon IT

Data Platform Achitect

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 ...

Dew Softech Inc

Data Platform 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 ...

Astyra Corporation

Data Platform Architect

Harrisburg, PA · Hybrid

$120 - $125/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Entarian

Data Engineer

Mechanicsburg, PA · Remote

$125K - $150K/yr

Implement and manage databases and data delivery systems and transform them into insights, analysis ... Experience with one or more programming languages like Python, Java, Scala, or Go. About Us Formed ...

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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.

Enterprise Cloud Data Platform Architect

S R INTERNATIONAL INC

Harrisburg, PA • On-site

$100 - $110/hr

Full-time

Posted 7 days ago

Job description

Job Title: Enterprise Cloud Data Platform Architect 

Job ID: 809076 - Hybrid

Client: Commonwealth of PA2 - OA

Closing Date: 08/13/2026 at 4.00 pm 

Hybrid - one day weekly (Tue, Wed or Thursday) in office--607 South Drive, Forum Building 5th floor, Harrisburg

Interview type:  Screening with hiring manager, virtual interview with 2more people, final in person at Harrisburg

COPA is establishing a new CDAI Office to build enterprise data capabilities that will enable every agency to deliver improved digital services, data analytics and AI solutions. This is a technical leadership position for the implementation and continual evolution of the Commonwealth’s enterprise data platforms. Working under the direction of the Chief Data and AI Officer, this position designs, engineers, and delivers reusable cloud-based data products and shared services that enable agencies to securely develop digital services. The position establishes engineering practices, implementation standards, automation, and shared platform services that support enterprise modernization while enabling agencies to consume standardized capabilities rather than developing agency-specific solutions.
This role will balance tech strategy with practical execution, partner with solution architects, data teams in delivery centers and enterprise tech teams such as security, governance.
Key Responsibilities
1. Enterprise Platform Architecture 
• Define target architecture for an enterprise data platform
• Multi-year roadmap aligned to enterprise modernization initiatives
• Evaluate emerging tech while maintaining architectural consistency
2. Platform Engineering
• Build MVP and mature cloud data platform over time
• Set engineering standards and operational guardrails
• Design secure multi-tenant environments capable of serving multiple agencies with data co-mingling considerations
• Partner with CISO teams to implement IAM, encryption and audit capabilities
3. Enterprise enablement
• Design and build platform services instead of agency-specific implementations
• Develop onboarding patterns for agencies adopting enterprise products and services
• Ensure alignment across modernization initiatives
• Develop data products identified by Product team and AI-ready infrastructure
4. Leadership
• Develop engineering best practices 
• Collaborate with tech leaders across agencies and enterprise
• Partner with cloud, integration and data teams to implement enterprise data products.
• Promote API-first and product-based approaches to information sharing.
Desired Background and Experience
• Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of relevant education and experience
• 10+  years of experience building large scale cloud data platforms
• At least 7 years of hands-on experience in modern data architecture, platform engineering, cloud infrastructure
• Experience designing and implementing enterprise security controls for cloud data platforms, including IAM, RBAC etc.
• Proven experience building and operating cloud infrastructure as Code (Terraform or equivalent)
• Hands-on experience implementing modern DevSecOps practices and champion shift-left approach to security
• Partner with Cloud Engineering, CISO and GRC teams to integrate security controls into the data platforms while maintaining clear ownership boundaries.
• Data Platform & Services experience including platforms Snowflake, Databricks, AWS, Azure, containerized applications
• Soft skills important to this role
o Effective communication of technology concept to non-tech audience
o Can start from ground up
o Think patterns and reusable capabilities
o Worked at enterprise level for data platforms supporting multiple teams across the company
o Lead through influence[SK1.1][NN1.2] not direct reports

Flexible work from home options available.