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Part Time Data Analyst R Programming Jobs (NOW HIRING)

We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with ... programming techniques. * Proactively engage with program staff to ensure data needs are ...

Experience in Stata required, SAS or R preferred. * Ability to work well both independently and ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Experience in Stata required, SAS or R preferred. * Ability to work well both independently and ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

The Analyst would be responsible for supporting methods development and data analysis for a variety ... Proficient with statistical programming software and languages (e.g., SAS, STATA, or R) * Excellent ...

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Part Time Data Analyst R Programming information

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$34K

$82.6K

$136K

How much do part time data analyst r programming jobs pay per year?

As of Jun 18, 2026, the average yearly pay for part time data analyst r programming in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Data Analyst R Programming vs Part Time Data Analyst Python?

AspectPart Time Data Analyst R ProgrammingPart Time Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, reporting, statistical modelingData analysis, automation, machine learning projects
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles involve data analysis in a part-time setting but differ mainly in programming language expertise. R is favored for statistical analysis and visualization, while Python is preferred for automation and machine learning tasks. Your choice depends on the specific tools and industry focus.

More about Part Time Data Analyst R Programming jobs
What cities are hiring for Part Time Data Analyst R Programming jobs? Cities with the most Part Time Data Analyst R Programming job openings:
What are the most commonly searched types of Data Analyst R Programming jobs? The most popular types of Data Analyst R Programming jobs are:
What states have the most Part Time Data Analyst R Programming jobs? States with the most job openings for Part Time Data Analyst R Programming jobs include:
Infographic showing various Part Time Data Analyst R Programming job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Part-Time Data Extraction Programming

Penn State University

University Park, PA • On-site

$17/hr

Part-time

Posted 8 days ago


Penn State University rating

7.9

Company rating: 7.9 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

173rd of 537 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
The Population Research Institute is seeking applicants for part-time job of Data Extraction Programming, an upper-level undergraduate computer programmer or other qualified individual with interest in advancing skills in data extraction. Specifically, the candidate will develop Python or Java code that extracts data from printed population registry books that have been digitized + OCR text recognized. Data will be stored in a CSV file; the project already has defined possible data fields.
Job duties to include:
  • Desirable skills include coding experience in Python and/or Java (required), creative problem solving, ability to scrutinize own work and catch errors, experience annotating code, and ability to communicate work progress to supervisor with limited programming experience. While source materials generally present information systematically, the code must account for routine deviations and errors in the source materials.

Requirements, qualifications, and/or competencies:
  • Candidate will work independently with access to an experienced programmer for consultation when needed. Self-directed learning and resourcefulness are essential. Generative AI may be used strategically in consultation with supervisor but should not substitute for coding skills. Some familiarity with Amish and Mennonites is a plus but not required.
  • Work is primarily remote and flexible. Candidate must be committed to working in a distraction-free environment. Occasional exceptions to remote work include: (1) candidate may be required periodically to digitize printed population registries using equipment at University Park campus, and (2) candidate will occasionally meet in-person with supervisor, even as Zoom, telephone, and email will be the primary modes of communication.
  • Hours must be completed by August 17, 2026. While weekly hours are flexible, the candidate must work no fewer than four hours any given week. The position will be housed in Penn State's Population Research Institute and supervised by postdoctoral scholar Dr. Cory Anderson.
  • Position open immediately, and applications will be received until the position is filled. Please submit a list of programming-related experience, list of relevant coursework and final grades, and one reference who can speak to your programming experience and potential (e.g. advisor, instructor, or current/former employer).

Compensation:
The starting rate for this job is $17/hr.
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.
The Pennsylvania State University 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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