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Afternoon Data Analyst R Programming Jobs in Lewisberry, PA

Global Data Consultants

Data Analyst

Mechanicsburg, PA · On-site

Experience with Python or R for data analysis, data preparation, or automation. * Experience with exploratory data analysis, statistical analysis, or advanced analytics. * Experience developing ...

New

DHL

Business Data Analyst II

Mechanicsburg, PA · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

New

Varsity Tutors

Data Science Tutor

Harrisburg, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

R Systems, Inc.

Data Platform Architect

Harrisburg, PA · On-site

$63 - $81/hr

R Systems is a leading digital product engineering company that designs and develops chip-to-cloud ... services, data analytics and AI solutions. This is a technical leadership position for the ...

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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.

Data Analyst

Global Data Consultants

Mechanicsburg, PA

Full-time

Posted 2 days ago

New

Job description

Overview

GDC IT Solutions is currently seeking a Data Analyst to work in a long-term contract or RTH capacity in Mechanicsburg, Pennsylvania, supporting the Administrative Office of Pennsylvania Courts (AOPC) IT – Enterprise Applications Design team. This position focuses on transforming complex court data into meaningful insights through data analysis, visualization, SQL, and business intelligence.

As a Data Analyst you will be responsible for analyzing complex court data, identifying trends and actionable insights, and developing dashboards, reports, and visualizations that support court operations and performance. You will collaborate with technical and non-technical stakeholders to translate business questions into effective analytics solutions while leveraging SQL, Tableau, statistical analysis, and data visualization best practices to communicate findings clearly and improve business intelligence capabilities.


Responsibilities
  • Design, develop, and maintain dashboards, reports, and data visualizations that provide meaningful insights into court operations and performance.
  • Explore and analyze data to identify trends, patterns, relationships, anomalies, and opportunities for improvement.
  • Apply statistical analysis and modeling techniques to evaluate business questions and support informed decision-making.
  • Write and optimize SQL queries to extract, combine, validate, and analyze data from multiple sources.
  • Collaborate with court administration, IT teams, data owners, and business stakeholders to gather requirements, investigate data issues, and translate business needs into analytics solutions.
  • Perform data profiling and validation to ensure the accuracy, consistency, and integrity of analytical and reporting data.
  • Evaluate existing dashboards and reporting solutions and recommend enhancements to usability, performance, visualization, and analytical value.
  • Identify opportunities to improve data collection, business processes, reporting standards, and analytics practices.
  • Apply data storytelling and visualization best practices to communicate complex information clearly to technical and non-technical audiences.
  • Support and advance business intelligence capabilities through best practices, reusable solutions, and visualization standards.
  • Guide stakeholders in effectively interpreting dashboards, metrics, and analytical findings.

Minimum Qualifications
  • Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
  • Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
  • Strong proficiency in SQL and experience working with relational databases and complex datasets.
  • Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
  • Experience gathering requirements and translating business questions into analytical and reporting solutions.
  • Understanding of data visualization principles, dashboard design, and reporting best practices.
  • Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.
  • Ability to successfully complete a criminal background check conducted by the AOPC.
  • Experience with Tableau Server or Tableau Cloud, including publishing, permissions, data sources, extracts, and dashboard performance optimization.
  • Familiarity with data warehouses, data lakes, and modern analytics architectures.
  • Familiarity with Microsoft SQL Server and/or SAP ASE/IQ.
  • Experience working with large or complex datasets from multiple systems.
  • Experience supporting data governance, metric definitions, data quality, or reporting standards.
  • Tableau Certified Data Analyst or similar certification.
  • Experience with Python or R for data analysis, data preparation, or automation.
  • Experience with exploratory data analysis, statistical analysis, or advanced analytics.
  • Experience developing dashboards or analytics solutions for operational, performance, or executive reporting.
  • Strong analytical, problem-solving, written, verbal, and visual communication skills, with the ability to explain analytical and technical concepts to non-technical audiences.
  • Strong attention to detail and commitment to data accuracy and quality.
  • Ability to manage multiple priorities and work independently while collaborating effectively with stakeholders.

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:
  • Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
  • Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
  • Strong proficiency in SQL and experience working with relational databases and complex datasets.
  • Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
  • Experience gathering requirements and translating business questions into analytical and reporting solutions.
  • Understanding of data visualization principles, dashboard design, and reporting best practices.
  • Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.
  • Ability to successfully complete a criminal background check conducted by the AOPC.
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