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Entry Level Data Analyst R Programming Jobs in Philadelphia, PA

Accenture

Data Protection Sr. Analyst

Philadelphia, PA · Hybrid

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

SEI

Data and Analytics Consultant

Philadelphia, PA

... programming and scripting languages such as, but not limited to, SQL, Python and R * Experience ... in data warehousing and analytics solutions * Experience deploying enterprise-wide reporting ...

Soni Resources

Data Scientist

Conshohocken, PA · On-site

Partner with engineering and IT functions to develop and sustain data pipelines integrating ... Proficiency in Python and/or R for data analysis and model development. * Advanced experience with ...

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Entry Level Data Analyst R Programming information

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$13

$33

$62

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

As of Jun 19, 2026, the average hourly pay for entry level data analyst r programming in Philadelphia, PA is $33.23, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.12 per hour, depending on experience, location, and employer.

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.
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Entry Level Data Analyst R Programming jobs near you

Direct Hire Public Notice - Data Scientist

USA JOBS

King Of Prussia, PA

$74K/yr

Other

Posted 16 days ago

Job description

The U.S. Nuclear Regulatory Commission (NRC) will use Direct Hire Authority to fill vacancies for the Data Scientist positions within the agency.
This vacancy is a REPOSITORY of applications.
Applicants MAY BE periodically referred to Selecting Officials both during the open period and for up to 90 days after the closing date of the vacancy. Because of the large number of applications anticipated, applicants status will not be updated UNLESS referred.

Qualifications:

This position is being filled using the agency's Direct Hire Authority.

All positions, dependent upon grade levels being filled, require some level of related experience or education. (Job family series included for this vacancy are listed below)

The NRC will accept applications for this vacancy for ONLY the following occupational series: Data Scientist 1560

In order to qualify for these positions, you must have at least one year of specialized experience at the next lower grade level in the Federal Service or equivalent experience in the private or public sector.

Specialized Experience by Grade Level:

GG-11: At least 1 year of specialized experience, equivalent to the GG-09 grade level in the Federal service, or at least 1 year equivalent experience in the private or public sector to include: Assisting efforts to assess and document current state business processes and data/technical architectures; assisting efforts to develop and document future state business processes and data/technical architectures; assisting efforts to perform gap analyses and develop recommendations for business process and data/technical architecture improvements; assisting efforts to translate business needs into data/technical requirements; demonstrating working knowledge of data mining/data analysis methods, modeling, mathematics, statistics, programming languages (e.g., SQL, Python, R), web-based application development (e.g., JavaScript, Java, Python, C/C++, R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and demonstrating working knowledge of artificial intelligence capabilities for intelligent automation, knowledge discovery, conversational UIs and/or content generation.

GG-12: At least 1 year of specialized experience, equivalent to the GG-11 grade level in the Federal service, or at least 1 year of equivalent experience in the private or public sector to include: Coordinating efforts to assess and document current state business processes and data/technical architectures; Coordinating efforts to develop and document future state business processes and data/technical architectures; Coordinating efforts to perform gap analyses and develop recommendations for business process and data/technical architecture improvements; Coordinating efforts to translate business needs into data/technical requirements; Demonstrating intermediate proficiency in data mining/data analysis methods, modeling, mathematics, statistics, programming languages (e.g., SQL, Python, R), web-based application development (e.g., JavaScript, Java, Python, C/C++, R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and demonstrating intermediate knowledge of artificial intelligence capabilities for intelligent automation, knowledge discovery, conversational UIs and/or content generation.

GG-13: At least 1 year of specialized experience, equivalent to the GG-12 grade level in the Federal service, or at least 1 year of equivalent experience in the private or public sector to include: Assessing and documenting current state business processes and data/technical architectures; developing and documenting future state business processes and data/technical architectures; performing gap analyses and developing recommendations for business process and data/technical architecture improvements; translating business needs into data/technical requirements, proficiency in written and oral communications at all organizational levels, demonstrating intermediate-to-advanced proficiency in data mining/data analysis methods, modeling, mathematics, statistics, programming languages (e.g., SQL, Python, R), web-based application development (e.g., JavaScript, Java, Python, C/C++, R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and demonstrating intermediate-to-advanced knowledge of artificial intelligence capabilities for intelligent automation, knowledge discovery, conversational UIs and/or content generation.

GG-14: At least 1 year of specialized experience, equivalent to the GG-13 grade level in the Federal service, or at least 1 year of equivalent experience in the private or public sector to include: Overseeing and participating in the assessment and documentation of current state business processes and data/technical architectures; overseeing and participating in the development and documentation of future state business processes and data/technical architectures; overseeing and participating in gap analyses and the development of recommendations for business process and data/technical architecture improvements; overseeing and participating in the translation of business needs into data/technical requirements, proficiency in written and oral communications at all organizational levels, and overseeing and participating in teams to achieve business outcomes by leveraging staff and/or contract resources with junior-to-advanced proficiency in data mining/data analysis methods, modeling, mathematics, statistics, programming languages (e.g., SQL, Python, R), web-based application development (e.g., JavaScript, Java, Python, C/C++, R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and demonstrating intermediate-to-advanced knowledge of artificial intelligence capabilities for intelligent automation, knowledge discovery, conversational UIs and/or content generation.

GG-15: At least 1 year of specialized experience, equivalent to the GG-14 grade level in the Federal service, or at least 1 year of equivalent experience in the private or public sector to include: Leading cross-functional teams in the assessment and documentation of current state business processes and data/technical architectures; leading cross-functional teams in the development and documentation of future state business processes and data/technical architectures; leading cross-functional teams in performing gap analyses and the development of recommendations for business process and data/technical architecture improvements; leading cross-functional teams in the translation of business needs into data/technical requirements; proficiency in written and oral communications at all organizational levels, engaging senior leadership to identify, prioritize, and champion innovation and modernization initiatives, leading teams to achieve business outcomes by leveraging staff and/or contract resources with junior-to-advanced proficiency in data mining/data analysis methods, modeling, mathematics, statistics, programming languages (e.g., SQL, Python, R), web-based application development (e.g., JavaScript, Java, Python, C/C++, R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and demonstrating advanced knowledge of artificial intelligence capabilities for intelligent automation, knowledge discovery, conversational UIs and/or content generation.

The ideal candidate for these positions must demonstrate:

1) Ability to plan, direct, coordinate, and manage complex, highly technical projects;

3) Ability to present technical information both orally and in writing; and

4) Ability to develop and implement successful approaches to problem solving and conflict resolution.
A description of how you possess the specialized experience as well as how you meet the qualifications desired in an ideal candidate should be addressed in your resume. The NRC encourages applicants to provide concise job experience details in your resume. Applicants may also use the supplemental vacancy question to provide additional information pertaining to specialized experience and ideal candidate criteria.

PLEASE BE CLEAR AND CONCISE. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE.

Education:

Qualifications Standard for Data Science Series, 1560

Basic Requirements:

A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

or

B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.


You must include an unofficial or official copy of your college and/or university transcripts with your application. Transcript must include the School Name, Student Name, Degree and Date Awarded (if applicable). Education must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. If you have multiple degrees (e.g., BS, MS, PhD) please submit transcripts for each degree.

FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in a conventional U.S. education program. It is your responsibility to provide such evidence when applying. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website. If you are qualifying on foreign education, you MUST submit proof of creditability of education as evaluated by a credentialing agency. Transcripts must be uploaded with your application to verify education. All documentation must be in English or include an English translation.

Employment Type: OTHER

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