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Entry Level Data Analyst R Programming Jobs in Doylestown, PA

... data engineers, developers, and business stakeholders to ensure data solutions align with ... analytical, problem-solving, and critical-thinking skills with strong attention to detail. • ...

Analytics Engineering & Data Validation * Develop and maintain reusable BigQuery views and/or SQL-based data models that serve as the foundation for Power BI reporting and self-service analytics.

Data Analyst, MDM

Plymouth Meeting, PA · On-site +1

$71K - $87K/yr

Conduct data quality assessments in Google BigQuery and connected source systems, identifying anomalies, gaps, and integrity violations. • Analytics Engineering & Data Validation * Develop and ...

New

Data Science Tutor

Trenton, NJ · 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 ...

Showing results 21-40

Entry Level Data Analyst R Programming information

See Doylestown, PA salary details

$12

$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 Doylestown, PA is $32.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $36.01 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 Doylestown, PA, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Entry Level Data Analyst R Programming job openings in Doylestown, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $67,063 per year, or $32.2 per hour.

Data Analyst C/D (The Palliative and Advanced Illness Research Center)

The University of Pennsylvania

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago


University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

169th of 627 rated colleges and universities


Job description

University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
Posted Job Title
Data Analyst C/D (The Palliative and Advanced Illness Research Center)
Job Profile Title
Data Analyst C
Job Description Summary
The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation.
The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position.
Job Description
Job Responsibilities
The Palliative and Advanced Illness Research Center is seeking two data managers to join a team of data managers and biostatisticians supporting the Center's clinical trials, observational cohort studies, and pilot programs. The data managers will be responsible for deeply understanding PAIR's study protocols and translating that understanding into the creation of appropriately structured analytic files, queries, data collection tools, data pipelines, and external data requests with data use agreements. The data managers must demonstrate a strong knowledge of research concepts and data structures, ideally in the healthcare setting, and communicate effectively and openly with collaborators, internal and external, about technical requirements and study design considerations. These individuals will also be responsible for planning for data acquisition, preservation, and destruction; establishing data use agreements on behalf of the Center; and maintaining complete documentation.
The successful candidates must have significant data programming experience in R (preferred) and/or Python, and in SQL; experience with MS Access and SAS are also beneficial. Above all, attention to detail and the ability to clearly and concisely convey nuanced technical information to different audiences (project managers, investigators, technical and non-technical external stakeholders, biostatisticians, other data managers) will be essential to this individual's success in the position.
DUTIES:
Write R scripts to assess data quality, generate reports, and prepare analysis-ready datasets.
Design, test, and maintain data flows and databases to support study recruitment and data collection.
Create and maintain documentation for data resources created.
Contribute to the development of organizational systems for programs, data files, queries, and documentation files.
Review drafts and provide comments/revisions on data use agreements and develop plans to ensure their compliance.
Create flowcharts, summary documents, and other presentation aids to facilitate collective understanding of data-related workflows.
Provide training to research coordinators and project managers on data processes.
Provide constructive input in study team meetings and PAIR Center-wide discussions.
Perform other duties as assigned.
Data Analyst D: Applicants with training and experience in querying electronic health record data structures, particularly Epic Clarity, will be considered for the more senior position, which will involve composing and validating complex SQL queries to retrieve health data according to real-life clinical documentation patterns. Familiarity working with data generated from a variety of clinical processes (orders, labs, flowsheet, medications, alerts, episodes, notes, admission-discharge-transfer, appointments, referrals, etc.) will be a significant factor in evaluating candidates.
Contingent Upon Funding.
Qualifications
Required:
Experience analyzing complex data.
Experience programming in R or Python
Experience programming in SQL (or similar from other environments, e.g. SAS PROC SQL)
Excellent organizational skills and attention to detail
Excellent written and oral communication skills
Preferred:
Experience with healthcare research and concepts
Epic Clarity certifications, especially from the Clinical Data Model track
Data Analyst C:
Bachelor of Science and 2 to 3 years of experience or equivalent combination of education and experience is required. Master's preferred.
Data Analyst D:
A bachelor's degree and 3-5 years of experience or equivalent combination of education and experience is required. Master's preferred.
Experience with querying electronic health record data structures (e.g., Epic Clarity)
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
Perelman School of Medicine
Pay Range
$61,000.00 - $100,000.00 Annual Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.
Equal Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.
Special Requirements
Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
University Benefits
  • Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars.
  • Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions.
  • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.
  • Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be.
  • Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting.
  • Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance.
  • Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally.
  • University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free.
  • Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks.
  • Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures.
  • Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements.
  • Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household.

To learn more, please visit: https://www.hr.upenn.edu/PennHR/benefits-pay

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About University of Pennsylvania

Sourced by ZipRecruiter

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1740