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Entry Level Data Analyst R Programming Jobs in Harrisburg, PA

S R INTERNATIONAL INC

Business Analyst

Harrisburg, PA · On-site

The role requires close collaboration with business stakeholders, Project Managers, developers ... Support regression testing, functional validation, data validation, and business process validation.

Ask IT consulting

Business Analyst

Harrisburg, PA · On-site

... data collections and reports, evaluate the difference between the existing code and the required ... The business analyst will work with the programmers to design the reports. The business analyst ...

Inizio Ignite | STEM

Junior Business Analyst

York, PA · Hybrid

$26 - $35/hr

Building and maintaining MS Excel databases from source data * Analysing client data using ... Engineering, Economics etc.) * A few years of experience in a similar analysis job within the ...

Pheaa

Policy Research Analyst

Harrisburg, PA · Hybrid

$71K/yr

Apply advanced mathematics, scientific methods and computer programming to define data requirements ... Use analytical techniques, such as linear and logistic regression, to answer research/policy ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Harrisburg, PA

Entry Level Data Analyst R Programming information

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$32

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How much do entry level data analyst r programming jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level data analyst r programming in Harrisburg, PA is $32.50, according to ZipRecruiter salary data. Most workers in this role earn between $20.87 and $36.30 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

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For Entry Level Data Analyst R Programming jobs in Harrisburg, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Harrisburg, PA look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Harrisburg, PA are:

What cities near Harrisburg, PA are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Harrisburg, PA with the most Entry Level Data Analyst R Programming job openings:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Harrisburg, PA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $67,609 per year, or $32.5 per hour.

Business Analyst

S R INTERNATIONAL INC

Harrisburg, PA • On-site

Full-time

Posted 5 days ago

Job description

Job Title: Business Analyst (Delivery & Validation)
Job Code: PA 810373
Client: Commonwealth of Pennsylvania – PUC
Location: PA 15017 / Harrisburg, PA
Work Arrangement: Hybrid – 2 days onsite per week; Wednesday is mandatory
Duration: Until 07/03/2027
Closing Date: 08/31/2026 at 4:00 PM
 
Position Overview
The Commonwealth of Pennsylvania is seeking a Delivery & Validation Business Analyst to support the PMO with application modernization, technology upgrades, infrastructure initiatives, system migrations, and other complex technology projects.
The BA will be responsible for requirements elicitation and analysis, process analysis, solution validation, requirements traceability, UAT, business readiness, and production transition. The role requires close collaboration with business stakeholders, Project Managers, developers, architects, technical teams, vendors, and other project partners.
Key Responsibilities
  • Elicit, analyze, validate, and document business and functional requirements, workflows, business rules, and acceptance criteria.
  • Develop current-state and future-state process documentation and perform gap, impact, dependency, and business analysis.
  • Evaluate proposed solutions against documented business requirements, processes, constraints, and intended outcomes.
  • Maintain requirements traceability across requirements, solution decisions, validation activities, defects, changes, and stakeholder acceptance.
  • Develop and coordinate User Acceptance Testing (UAT) scenarios, test cases, testers, schedules, execution, results, and defect tracking.
  • Support business and operational readiness for application releases, upgrades, infrastructure changes, migrations, and production cutovers.
  • Support regression testing, functional validation, data validation, and business process validation.
  • Assess stakeholder impacts and prepare user documentation, job aids, training materials, release communications, and adoption materials.
  • Collaborate with business stakeholders, Project Managers, Application Development, architects, technical teams, and vendors.
  • Independently manage priorities, identify risks and gaps, communicate issues, and provide well-reasoned recommendations.
Required Skills
  • Experience performing Business Analysis for application modernization, technology upgrades, infrastructure initiatives, system migrations, or complex technology projects.
  • Strong experience with requirements elicitation, analysis, documentation, validation, and traceability.
  • Experience with current-state/future-state process analysis, workflows, gap analysis, impact analysis, and business rules.
  • Experience with UAT / business validation, including test scenarios, test cases, defect tracking, and stakeholder acceptance.
  • Strong communication, documentation, analytical, organizational, and facilitation skills.
  • Ability to work independently, manage competing priorities, identify risks/gaps, and communicate recommendations effectively.
Highly Desired Skills
  • Azure DevOps or comparable project/test-management tools.
  • CAI system or InfoMap experience.
  • Experience supporting regulatory, compliance, or public-sector applications/processes.
  • Experience with release readiness, production cutovers, system migrations, regression validation, and post-implementation activities.
  • Experience creating professional business and technical documentation.
Primary Skills
Business Analysis | UAT | Requirements Gathering | Requirements Traceability | Azure DevOps | Application Modernization | Technology Upgrades | Infrastructure Initiatives | System Migrations | Process Analysis | Gap Analysis | Solution Validation | Business Readiness | Production Cutover | Defect Management | Stakeholder Management

Flexible work from home options available.