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Afternoon Data Analyst R Programming Jobs in Halifax, PA

D&H

Sr Data Engineer - Data Platform

Harrisburg, PA · On-site

$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 ...

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 ...

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 ...

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

Afternoon Data Analyst R Programming information

See Halifax, PA salary details

$30.2K

$73.5K

$120.9K

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

As of Sep 13, 2026, the average yearly pay for afternoon data analyst r programming in Halifax, PA is $73,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,200.00 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 cities near Halifax, PA are hiring for Afternoon Data Analyst R Programming jobs?

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

Afternoon Data Analyst R Programming jobs near you

SAP BRIM Data Migration Architect

Middletown, PA • On-site

Data-Core Systems Inc.
IT Services • 201 - 500 employees
Learn more about Data-Core Systems Inc.external

Contractor

Re-posted 23 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 visit https://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 an 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 customer, contract account, subscription, 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.
  • Review technical specifications and ensure adherence to architecture standards.

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.

Stakeholder Collaboration & Documentation
  • Work closely with business users and functional leads to gather migration requirements.
  • Present migration status, risks, and recommendations to project leadership.
  • Maintain architecture documentation, migration runbooks, and operational procedures.
  • Provide knowledge transfer and mentoring to internal teams.

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 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.
  • Ability to lead technical workshops and stakeholder discussions.
  • Strong organizational and project coordination skills.

Preferred Qualifications:
  • Experience in utility, telecommunications, subscription, or high-volume billing environments.
  • Experience with cloud-based SAP environments (RISE with SAP, Azure, AWS, GCP).
  • Experience supporting Agile and hybrid project delivery methodologies.
  • Previous consulting or contractor experience on enterprise transformation programs.

Required Education and Certifications:
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.
  • Equivalent combination of education and relevant experience may be considered.

We are an equal opportunity employer.
#Dice

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