1

Afternoon Data Analyst R Programming Jobs in Manchester, PA

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process ... Provide leadership to migration developers, analysts, and technical teams. * Oversee development ...

Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions. KEY RESPONSIBILITIES: * Design and ...

Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions. KEY RESPONSIBILITIES: * Design and ...

Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions. KEY RESPONSIBILITIES: * Design and ...

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 ...

As a Business Analyst you will be responsible for reverse-engineering legacy applications and translating existing business processes, functionality, data flows, and edge cases into comprehensive ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Manchester, PA salary details

$31.7K

$77.1K

$126.9K

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 Manchester, PA is $77,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,500.00 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 Manchester, PA are hiring for Afternoon Data Analyst R Programming jobs?

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Manchester, 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 $77,086 per year, or $37.1 per hour.

SAP BRIM Data Migration Architect

On-site

Contractor

Re-posted 9 days ago


Job description

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise, and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visithttps://datacoresystems.com/.


Our client is a roadway system, and as a part of their digital transformation, they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE.


Data-Core Systems Inc. is seeking a SAP BRIM Data Migration Architect to be a part of our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team.


Roles & Responsibilities:

Data Migration Strategy & Architecture

  • Lead the overall architecture, planning, and execution of SAP BRIM data migration initiatives.
  • Define migration strategy, frameworks, standards, governance, and best practices for SAP BRIM implementations.
  • Design end-to-end migration solutions for customers, contract accounts, subscriptions, billing, invoicing, payments, and financial data.
  • Assess legacy system data structures and map them to SAP BRIM target models.
  • Develop migration roadmaps, cutover strategies, and reconciliation approaches.

SAP BRIM Solution Support

  • Support SAP BRIM modules, including:
    • SAP Convergent Charging (CC).
    • SAP Convergent Invoicing (CI).
    • SAP Subscription Order Management (SOM).
    • SAP Contract Accounts Receivable and Payable (FI-CA).
    • SAP Billing and Revenue Innovation Management integrations.
  • Ensure alignment between migration design and BRIM business processes.

Data Analysis & Transformation

  • Perform data profiling, cleansing, transformation, validation, and reconciliation activities.
  • Define and implement data quality controls and governance processes.
  • Create source-to-target mapping documents and transformation rules.
  • Identify and resolve data inconsistencies and migration defects.

Technical Leadership

  • Provide leadership to migration developers, analysts, and technical teams.
  • Oversee development and execution of ETL processes, migration scripts, and automation tools.
  • Coordinate with SAP Basis, security, infrastructure, and integration teams.

Testing & Validation

  • Support unit testing, system integration testing, user acceptance testing, and mock conversions.
  • Lead reconciliation and validation activities to ensure migrated data accuracy and completeness.
  • Support performance tuning and optimization of migration processes.

Cutover & Deployment

  • Develop and execute migration cutover plans.
  • Support production deployment and hypercare activities.
  • Coordinate migration activities during go-live events and stabilization periods.


Required Skills & Experience:

  • 8+ years of SAP experience with at least:
  • 5 years focused on SAP BRIM.
  • 5 years leading enterprise data migration initiatives.
  • Proven experience in architecting and executing SAP BRIM data migrations in large-scale enterprise environments.
  • Hands-on experience with:
    • SAP FI-CA.
    • SOM
    • Convergent Charging.
    • Convergent Invoicing.
  • Strong experience with SAP migration tools and methodologies.
  • Experience with:
    • SAP Data Services (BODS).
    • SAP Migration Cockpit.
    • ETL/Data integration tools.
    • SQL and data analysis.
    • Data modeling and mapping.
  • Experience integrating SAP BRIM with:
    • SAP S/4HANA.
    • CRM
    • CI/CD and middleware platforms.
    • Third-party billing or subscription systems.
  • Strong understanding of:
    • Data governance.
    • Data quality management.
    • Reconciliation and audit controls

Certifications & Education Qualifications:

  • One or more of the following preferred:
    • SAP Certified Application Associate - SAP Billing and Revenue Innovation Management.
    • SAP Certified Technology Associate.
    • SAP S/4HANA certifications.
    • SAP Data Services certification.
    • SAP Activate Project Manager certification.
    • AWS, Azure, or cloud architecture certifications (preferred).
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business Technology, or a related technical discipline.
  • An equivalent combination of education and relevant experience may be considered.


We are an equal opportunity employer.


#Dice