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Afternoon Data Analyst R Programming Jobs in Columbia, 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 · 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 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 ...

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

Afternoon Data Analyst R Programming information

See Columbia, PA salary details

$32.9K

$80.1K

$131.7K

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 Columbia, PA is $80,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $94,000.00 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 Columbia, PA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Columbia, 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 Columbia, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,055 per year, or $38.5 per hour.

SAP BRIM Data Analyst / Developer with BODS and Emigal

Data-Core System

Middletown, PA

Contractor

Posted 27 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 Analyst / Developer with BODS and Emigalto 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:

SAP BRIM Data Analysis & Migration Support.

  • Subscription Order Management (SOM).
  • Convergent Charging (CC).
  • Convergent Invoicing (CI).
  • Contract Accounts Receivable and Payable (FI-CA).
  • Customer and billing master data.
  • Analyze legacy source systems and map data to SAP BRIM target structures.
  • Support data extraction, transformation, cleansing, validation, and reconciliation activities.

SAP BODS Development.

  • Design, develop, and maintain SAP Data Services (BODS) jobs, workflows, scripts, and ETL processes.
  • Develop source-to-target mappings and transformation logic.
  • Optimize ETL jobs for performance, scalability, and reliability.
  • Support batch processing, scheduling, and automation activities.
  • Troubleshoot and resolve BODS job failures and performance issues.

SAP EMIGALL Development & Configuration.

  • Configure and develop SAP EMIGALL migration objects and load programs.
  • Master data migration.
  • Transactional data migration.
  • FICA migration objects.
  • Customer account migration.
  • Billing and invoicing migration.
  • Execute migration loads, validation checks, and reconciliation activities.
  • Assist with mock conversions, dress rehearsals, and production cutover activities.

Data Validation & Reconciliation.

  • Data validation scripts.
  • Reconciliation reports.
  • Data quality checks.
  • Migration test scenarios.
  • Validate completeness, accuracy, and integrity of migrated data.
  • Analyze and resolve data discrepancies and migration defects.

Technical Development & Integration.

  • SAP S/4HANA.
  • CRM systems.
  • Legacy billing platforms.
  • External data sources.
  • Collaborate with integration teams on APIs, interfaces, and middleware solutions.
  • Support SQL development and database-level analysis as needed.

Testing & Production Support.

  • Unit testing.
  • System integration testing.
  • User acceptance testing (UAT).
  • Performance testing.
  • Support migration deployment activities and post-production stabilization.
  • Troubleshoot production issues and provide ongoing operational support.

Documentation & Governance.

  • Mapping documents.
  • ETL design specifications.
  • Migration procedures.
  • Technical documentation.
  • Operational runbooks.
  • Support enterprise data governance and compliance initiatives.
  • Ensure adherence to migration standards and change management processes.

Collaboration & Stakeholder Engagement.

  • Data architects.
  • SAP BRIM functional consultants.
  • BASIS administrators.
  • Infrastructure teams.
  • Business stakeholders.
  • Participate in workshops, design reviews, and migration planning sessions.
  • Provide technical knowledge transfer and mentoring to internal teams.


Required Skills & Experience:

  • 7+ years of SAP data migration or data development experience.
  • 4+ years of direct SAP BODS development experience.
  • 3+ years of SAP EMIGALL development and migration experience.
  • Proven experience supporting enterprise SAP BRIM or FICA migration initiatives.
  • Hands-on experience developing:
    • SAP BODS ETL jobs and workflows.
    • Data mappings and transformation logic.
    • EMIGALL migration objects and load processes.
    • SQL queries and reconciliation reports.
  • Strong understanding of:
    • SAP BRIM data structures.
    • SAP FICA migration concepts.
    • Data migration methodologies.
    • Data quality and reconciliation practices.
    • Enterprise ETL and integration concepts.
  • Experience with:
    • SAP S/4HANA integrations.
    • Database technologies.
    • APIs and middleware platforms.
    • Performance optimization and troubleshooting.
  • Strong ETL development and data analysis capabilities.
  • Ability to translate business requirements into technical migration solutions.
  • Strong attention to detail and commitment to data quality.


Preferred Qualifications:

  • Experience with:
    • SAP Data Migration Cockpit.
    • SAP HANA.
    • SAP Datasphere.
    • SAP Analytics Cloud (SAC).
    • Cloud-based SAP environments.
  • Experience in utilities, telecommunications, transportation, finance, or subscription-based industries.
  • Experience supporting large-scale digital transformation programs.
  • Experience supporting Agile and hybrid delivery methodologies.
  • Prior consulting or contractor experience in enterprise SAP environments.


Required Education and Certifications:

  • SAP Certified Application Associate - SAP Billing and Revenue Innovation Management.
  • SAP Certified Development Associate - SAP Data Services.
  • SAP Certified Technology Associate - SAP HANA.
  • SAP S/4HANA certifications preferred.
  • Data integration or ETL certifications preferred.
  • Bachelor's degree in:Computer Science,Information Technology,Information Systems,Data Analytics.
  • Equivalent combination of education and relevant experience may be considered.


We are an equal opportunity employer.


#Dice

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