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Full Time Data Analyst R Programming Jobs in Lancaster, PA

Senior Analyst - FP&A (Resorts)

Hershey, PA · On-site

$81K - $101K/yr

This position will also be responsible for data modeling and dashboard creation. As a Full-Time ... Must embody HE&R Core Values (Devoted to the Legacy, Selfless Spirit of Service, Team Focused ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

... R&R's, long term stability, FAI's, Cmk's and Cpk's. * Support the analysis of defined risk areas ... analysis, DOE, passive data collection (PDC) and or basic technology searches and development ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

... R&R's, long term stability, FAI's, Cmk's and Cpk's. * Support the analysis of defined risk areas ... analysis, DOE, passive data collection (PDC) and or basic technology searches and development ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position: Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position: Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Development Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position: Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Staff Engineer

York, PA · On-site

$100K - $145K/yr

Product Development, Technology R&D, Product Data Analysis, Engineering data management, product Seismic Compliance efforts, and laboratory testing of product performance. This Engineer is ...

Development Quality Engineer

Yocumtown, PA · On-site

$69K - $89K/yr

Position:Quality Engineer Location: Valley Green, PA Amphenol High Speed Products Group is the ... R's, long term stability, FAI's, Cmk's and Cpk's. * Ability to analyze operating data, including ...

Showing results 41-60

Full Time Data Analyst R Programming information

See Lancaster, PA salary details

$33K

$80.3K

$132.2K

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

As of Sep 10, 2026, the average yearly pay for full time data analyst r programming in Lancaster, PA is $80,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,300.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

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

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

What are popular job titles related to Full Time Data Analyst R Programming jobs in Lancaster, PA?

For Full Time Data Analyst R Programming jobs in Lancaster, PA, the most frequently searched job titles are:

What job categories do people searching Full Time Data Analyst R Programming jobs in Lancaster, PA look for?

The top searched job categories for Full Time Data Analyst R Programming jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Full Time Data Analyst R Programming jobs?

Cities near Lancaster, PA with the most Full Time Data Analyst R Programming job openings:

Infographic showing various Full Time Data Analyst R Programming job openings in Lancaster, PA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $80,313 per year, or $38.6 per hour.

Data Scientist (Statistician) - Direct Hire

Lancaster, PA • On-site

Criminal Investigation & Law Enforcement | IRS Careers
Public Administration • 10K+ employees

$125K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Internal Revenue Service rating

7.3

Company rating: 7.3 out of 10

Based on 131 frontline employees who took The Breakroom Quiz


Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
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 conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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