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Entry Level Data Analyst R Programming Jobs in Pennsylvania

ClifyX

Python/R Developer

Washington Crossing, PA · On-site

$50 - $69/hr

Python/ R Developer Should have strong experience with Python, R. Should have experience with ... Preferred experience in data management on AWS Redshift. Strong written and verbal communication ...

ClifyX

Python/ R Developer

Washington Crossing, PA · On-site

$50 - $69/hr

Python/ R Developer Location: Titusville, NJ Position: Contract /FTEPosition Job Summary: Should ... Preferred experience in data management on AWS Redshift. Strong written and verbal communication ...

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 ...

Varsity Tutors

Data Science Tutor

Allentown, 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 ...

Varsity Tutors

Data Science Tutor

Erie, 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 ...

Varsity Tutors

Data Science Tutor

Chester, 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 ...

Varsity Tutors

Data Science Tutor

Pittsburgh, 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 ...

Varsity Tutors

Data Science Tutor

State College, 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 ...

Varsity Tutors

Data Science Tutor

Reading, 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 ...

webfx.com

Jr. Business Data Analyst

Harrisburg, PA

$50K - $53K/yr

About the Role WebFX is seeking an entry-level candidate for our Marketing team! Our ideal ... Analyze campaign performance data (In Google Analytics and RevenueCloudFX) and prepare monthly ...

webfx.com

Jr. Business Data Analyst

Harrisburg, PA

$50K - $53K/yr

About the Role WebFX is seeking an entry-level candidate for our Marketing team! Our ideal ... Analyze campaign performance data (In Google Analytics and RevenueCloudFX) and prepare monthly ...

webfx.com

Jr. Business Data Analyst

Harrisburg, PA · On-site

$50K - $53K/yr

About the Role WebFX is seeking an entry-level candidate for our Marketing team! Our ideal ... Analyze campaign performance data (In Google Analytics and RevenueCloudFX) and prepare monthly ...

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Entry Level Data Analyst R Programming information

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 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 are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

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 are the most commonly searched types of Data Analyst R Programming jobs in Pennsylvania? The most popular types of Data Analyst R Programming jobs in Pennsylvania are:
What are popular job titles related to Entry Level Data Analyst R Programming jobs in Pennsylvania? For Entry Level Data Analyst R Programming jobs in Pennsylvania, the most frequently searched job titles are:
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What cities in Pennsylvania are hiring for Entry Level Data Analyst R Programming jobs? Cities in Pennsylvania 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 Pennsylvania as of June 2026, with employment types broken down into 2% As Needed, 37% Full Time, 46% Part Time, 1% Temporary, and 14% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Part- Time Research Data Analyst

Part- Time Research Data Analyst

Penn State University

University Park, PA • On-site

Part-time

Posted 12 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
Program Description
The Research Translation Platform invites applications for a Research Data Analyst interested in a career at the research-policy nexus supporting the evaluation and analytic needs of strategies for translating scientific evidence to policymakers. This exciting opportunity would support the analysis and evaluation of research translation models, such as the Research-to-Policy Collaboration model. The Analyst would be responsible for supporting methods development and data analysis for a variety of projects, and may have opportunities to contribute to the implementation of an effective, replicable and non-partisan model for brokering researchers and policymakers. While the Analyst should have advanced quantitative skills, prior policy experience is not required. Training and mentorship in applying their skills to the analysis of boundary-spanning initiatives will be provided. This mentored position provides an opportunity to learn translational skills while working with policymaking audiences, as well as opportunities to contribute to scholarly work regarding best practices for research translation and dissemination. Our team is hybrid academic and policy practice; thus, we use data for action. Preference will be given to those within commuting distance to the Washington, D.C. area, though it is not required.
Job Responsibilities
  • Design the plan for and analyze observational and survey data regarding policymakers' or researchers' engagement in boundary-spanning initiatives, including longitudinal and multi-level analyses
  • Extract, transform, clean, and maintain data from a variety of sources
  • Development and proactive upkeep of data sources (e.g., surveys in Redcap, observational data via a CRM)
  • Contribute to the development of analytic plans for grants and publications
  • Support analytic needs for grant writing and reporting (e.g., power analyses; interim impact analyses)
  • Meet with legislators or staff to collect survey data
  • Mentor undergraduate- and graduate-level interns and fellows on developing and executing analytic plans
  • Juggle multiple projects and move ideas into action with attention to methodological and analytic details
  • Support research planning by setting milestone goals and incremental internal deadlines to achieve goals

Skills and Traits Needed by Applicants
  • Excellent analytic abilities and advanced quantitative statistical modeling skills (e.g., longitudinal, multi-level, over dispersed) of large, messy datasets
  • Proficient with statistical programming software and languages (e.g., SAS, STATA, or R)
  • Excellent attention to detail
  • Applied research experience, such as large administrative datasets or real-world data
  • Enthusiasm and commitment to accelerating the translation of science to policy
  • Curiosity and a generalist attitude with interest in diverse social policy issues
  • Ability to work on multiple simultaneous projects and prioritize work based on project scope, organizational need, and timeline
  • Strong diplomatic communication and interpersonal skills
  • Strong communication skills, such as seeking input early in design and escalating threats or problems to PIs
  • Ensuring quality control of data collection, and alerting PIs as needed
  • Strong writing skills that can produce written sections of methods and results for peer review publication
  • Bipartisan mindset and ability to interpret findings from multiple viewpoints

Eligibility
  • Master's degree or higher; applicants may have their degrees from any department, but degrees in psychology, public health, human development, public policy, social work, or prevention science will be particularly good fits for the program.
  • While the RTP team primarily operates remotely, preference will be given to applicants in Virginia within commuting distance of Washington, D.C. to support in-person data collection from congressional staff
  • Applicants should review the list of states in which Penn State cannot support employment. Permanent residence must be established in an allowable state prior to position start date. https://hr.psu.edu/more/flexible-work-arrangements/out-of-state-notice
  • Remote work requires high-quality, high speed internet connection in a home office

Application Instructions
Full consideration will be given to those applicants who completely submit all materials online. A complete submission will consist of:
  • Cover Letter describing relevant experience and career goals
  • Resume or CV
  • Writing Sample (preferably samples of work directed toward academic audiences; 1-2 samples, 35-page cumulative max)
  • Three references. We will not contact references without your express permission, which may be requested in later stages of the interview process.

Supervision will be provided by Executive Director, Taylor Scott, Ph.D., and Director of Research and Evaluation, Elizabeth Long, Ph.D. Additional mentorship provided by Max Crowley, Ph.D., Professor at Pennsylvania State University.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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