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Entry Level Data Analyst R Programming Jobs in Allentown, PA

Troubleshoot and resolve application issues related to batch jobs, data flow, and integration with ... Strong analytical and problem-solving skills with the ability to reverse-engineer complex code.

Product Engineering Intern

Easton, PA · On-site

$16 - $20.50/hr

The role provides hands-on experience with prototyping, test execution, data analysis, and troubleshooting under the guidance of experienced engineers. Interns contribute to real project work ...

Product Engineering Intern

Easton, PA · On-site

$16 - $20.50/hr

The role provides handson experience with prototyping, test execution, data analysis, and troubleshooting under the guidance of experienced engineers. Interns contribute to real project work ...

Product Engineering Intern

Easton, PA · On-site

$16 - $20.50/hr

Perform research and data analysis* to support design decisions - such as benchmarking components, analyzing test results, reviewing supplier specifications, or exploring alternative design ...

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Assess vibration data, issues reports, and help maintenance teams plan maintenance work ... Determine the most effective method for problem resolution and perform advanced engineering ...

This role offers an excellent opportunity for an entry-level engineering graduate to gain hands-on ... and related analyses. * Travel to project sites as required to gather data, support field ...

The role requires analysis and interpretation of data from engineering drawings and information from the marketing, purchasing, manufacturing, and logistics departments. In this role, the technician ...

Showing results 41-60

Entry Level Data Analyst R Programming information

See Allentown, PA salary details

$13

$32

$60

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 Allentown, PA is $32.49, 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.

What are the most commonly searched types of Data Analyst R Programming jobs in Allentown, PA?

The most popular types of Data Analyst R Programming jobs in Allentown, PA are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Allentown, PA?

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

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

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

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

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

Infographic showing various Entry Level Data Analyst R Programming job openings in Allentown, 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, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,585 per year, or $32.5 per hour.

Support Analyst

Noblesoft Technologies

Allentown, PA • On-site

Contractor

Re-posted 25 days ago


Job description

Position-Support Analyst
Location-Allentown, PA or Houston, TX 
Job Description

Position Summary
  • The Support Analyst will be responsible for providing technical and functional support for the Pipeline Scheduler application used in midstream oil and gas operations.
  • This role ensures the smooth operation of scheduling systems, resolves user issues, and supports enhancements and maintenance activities across development and production environments.
Key Responsibilities
  • Provide Level 1 and Level 2 support for the Pipeline Scheduler application, including incident resolution, user access management, and system monitoring.
  • Troubleshoot and resolve application issues related to batch jobs, data flow, and integration with systems like T4 and Nest databases.
  • Maintain and update Excel VBA-based scheduling tools, ensuring configuration integrity and macro functionality.
  • Collaborate with schedulers to support daily operations such as exporting, editing, and publishing pipeline schedules.
  • Participate in patching activities, nightly audits, and compliance checks within the AVD environment.
  • Document support procedures, architecture diagrams, and user guides.
  • Coordinate with development teams for issue escalation and resolution.
  • Monitor ticket queues and ensure timely resolution or escalation of issues.
  • Participate in on-call rotations and support activities outside regular business hours as needed.
Required Skills and Experience
  • 6–8 years of experience in application support, preferably in the energy or midstream sector.
  • Proficiency in SQL (Level 3) and Visual Basic (Level 2) for data handling and script maintenance.
  • Experience with pipeline scheduling tools (e.g., Scheduling App, PLS) and understanding of terminal operations.
  • Familiarity with AVD environments, Active Directory group management, and Excel-based automation.
  • Strong analytical and problem-solving skills with the ability to reverse-engineer complex code.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Experience with Transport 4, Nest, and T4 systems.
  • Knowledge of midstream energy operations and pipeline logistics.
  • Exposure to RPA, integration workflows, and data quality management